Honours and Awards
[1] Selected papers from 2010:
[1] Linqiang Pan, Gheorghe Paun, Spiking Neural P Systems: An Improved Normal Form, Theoretical Computer Science, 411(2010), 906-918
[2] Jun Wang, Hendrik Jan Hoogeboom, Linqiang Pan, Gheorghe Paun, Mario J. Pérez-Jiménez, Spiking Neural P Systems with Weights, Neural Computation, 22(10)(2010), 2615-2646
[3] Linqiang Pan, Mario J. Pérez-Jiménez, Computational Complexity of Tissue-like P Systems, Journal of Complexity, 26(3)(2010), 296-315
[4] Tseren-Onolt Ishdorj, Alberto Leporati, Linqiang Pan, Xiangxiang Zeng, Xingyi Zhang, Deterministic Solutions to QSAT and Q3SAT by Spiking Neural P Systems with Pre-Computed Resources, Theoretical Computer Science, 411(2010), 2345-2358
[5] Linqiang Pan, Xiangxiang Zeng, Xingyi Zhang, Time-Free Spiking Neural P Systems, Neural Computation, 23(2011), 1320–1342
[6] Linqiang Pan, Xiangxiang Zeng, Small universal spiking neural P systems working in exhaustive mode, IEEE Transactions on Nanobioscience, 10(2)(2011), 99 - 105.
[7] Jin Xu, Xiaoli Qiang, Yan Yang, Baoju Wang, Dongliang Yang, Liang Luo, Linqiang Pan, Shudong Wang, An unenumerative DNA computing model for vertex coloring problem, IEEE Transactions on Nanobioscience, 10(2)(2011), 94-98.
[8] Linqiang Pan, Xiangxiang Zeng, Xingyi Zhang, Yun Jiang, Spiking Neural P Systems with Weighted Synapses. Neural Processing Letters, 35(1)(2012), 13-27
[9] Xingyi Zhang, Bin Luo, Xianyong Fang, Linqiang Pan, Sequential spiking neural P systems with exhaustive use of rules, BioSystems, 108 (2012), 52– 62
[10] Linqiang Pan, Jun Wang, Hendrik Jan Hoogeboom, Spiking Neural P Systems with Astrocytes, Neural Computation, 24(3)(2012), 805-825
[11] Zhujin Zhang, Tao Song, Xiangxiang Zeng, Yunyun Niu, Yun Jiang, Linqiang Pan, Yunming Ye, ColorSquare: A Colorful Square Visualization of DNA Sequences, MATCH Communications in Mathematical and in Computer Chemistry, 68 (2)(2012), 621-637.
[12] Tao Song, Linqiang Pan, Jun Wang, Ibrahim Venkat, K. G. Subramanian, Rosni Abdullah, Normal Forms of Spiking Neural P Systems With Anti-Spikes, IEEE Transactions on Nanobioscience, 11(4)(2012), 352-360
[13] Xiangxiang Zeng, Tao Song, Xingyi Zhang, and Linqiang Pan, Performing Four Basic Arithmetic Operations with Spiking Neural P Systems, IEEE Transactions on Nanobioscience, 11(4)(2012), 366-374
[14] Tao Song, Linqiang Pan, Gheorghe Paun, Asynchronous spiking neural P systems with local synchronization, Information Sciences, 219(2013), 197–207
[15] Tao Song, Linqiang Pan, Keqin Jiang, Bosheng Song and Wei Chen, Normal Forms for Some Classes of Sequential Spiking Neural P Systems, IEEE Transactions on NanoBioscience, 12 (3)(2013), 255-264
[16] Keqin Jiang,, Tao Song, Linqiang Pan, Universality of Sequential Spiking Neural P Systems Based on Minimum Spike Number, Theoretical Computer Science, 499(2013), 88-97
[17] Xiaolong Shi, Wei Lu, Zhiyu Wang, Linqiang Pan, Guangzhao Cui, Jin Xu, Thomas H LaBean, Programmable DNA tile self-assembly using a hierarchical sub-tile strategy, Nanotechnology, 25(7)(2014), 075602
[18] Tao Song, Luis F. Macías-Ramos, Linqiang Pan, Mario J. Pérez-Jiménez, Time-free Solution to SAT Problem Using P Systems with Active Membranes, Theoretical Computer Science, 529(2014), 61–68.
[19] Tao Song, Linqiang Pan, Gheorghe Paun, Spiking Neural P Systems with Rules on Synapses, Theoretical Computer Science, 529(2014), 82–95.
[20] Xingyi Zhang, Xiangxiang Zeng, Bin Luo, Linqiang Pan, On Some Classes of Sequential Spiking Neural P Systems, Neural Computation, 26(2014), 974--997.
[21] Su, Yansen, Pan, Linqiang, Identification of Logic Relationships between Genes and Subtypes of Non-Small Cell Lung Cancer, PLOS ONE 9(4) (2014): e94644.
[22] Liu Xueming, Pan Linqiang, Detection of driver metabolites in the human liver metabolic network using structural controllability analysis, BMC Systems Biology, 8(51)(2014), DOI: 10.1186/1752-0509-8-51
[23] Xingyi Zhang, Yanjun Liu, Bin Luo, Linqiang Pan, Computational power of tissue P systems for generating control languages, Information Sciences, 278(2014), 285–297.
[24] Xiangxiang Zeng, Lei Xu, Xiangrong Liu, Linqiang Pan, On languages generated by spiking neural P systems with weights, Information Sciences, 278(2014), 423–433.
[25] Xiangxiang Zeng, Xingyi Zhang, Tao Song, Linqiang Pan, Spiking Neural P Systems with Thresholds, Neural Computation, 26(2014), 1340-1361.
[26] Gexiang Zhang, Marian Gheorghe, Linqiang Pan, Mario J. Pérez-Jiménez, Evolutionary membrane computing: A comprehensive survey and new results, Information Sciences, 279(2014), 528-551
[27] Xiaolong Shi, Zhiyu Wang, Chenyan Deng, Tao Song, Linqiang Pan, Zhihua Chen, A Novel Bio-Sensor Based on DNA Strand Displacement, PLoS ONE 9(10)(2014): e108856.
[28] Xingyi Zhang, Bangju Wang, Linqiang Pan, Spiking neural p systems with a generalized use of rules, Neural Computation, 26(12) (2014), 2925--2943.
[29] Yang, Jing; Dong, Chen; Dong, Yafei; Liu, Shi; Pan, Linqiang; Zhang, Cheng, Logic nanoparticle beacon triggered by the binding-induced effect of multiple inputs, ACS Applied Materials & Interfaces, 6(16) (2014), 14486-14492
[30] Bosheng Song, Linqiang Pan, Computational Efficiency and Universality of Timed P Systems with Active Membranes, Theoretical Computer Science, 567(2015), 74-86
[31] Xueming Liu, Linqiang Pan, Identifying driver nodes in the human signaling network using structural controllability analysis, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12(2)(2015), 467-472.
[32] Xingyi Zhang, Linqiang Pan, Andrei Paun, On the Universality of Axon P Systems, IEEE Transactions on Neural Networks and Learning Systems, 26(11)(2015), 2816-2829
[33] Tao Song, Linqiang Pan, Spiking Neural P Systems With Rules on Synapses Working in Maximum Spikes Consumption Strategy, IEEE Transactions on NanoBioscience, 14(1)(2015), 38-44
[34] Tao Song, Linqiang Pan, Spiking Neural P Systems with Rules on Synapses Working in Maximum Spiking Strategy, IEEE Transactions on NanoBioscience, 14(4)(2015), 465--477
[35] Bosheng Song, Mario J. Pérez-Jiméne, Linqiang Pan, Efficient solutions to hard computational problems by P systems with symport/antiport rules and membrane division, BioSystems, 130(2015), 51–58
[36] Luis F. Macías-ramos, Bosheng Song, Luis Valencia-Cabrera, Linqiang Pan, Mario J. Pérez-jiménez, Membrane fission: A computational complexity perspective, Complexity, DOI: 10.1002/cplx.21691
[37] Bosheng Song, Mario J. Pérez-Jiménez, Linqiang Pan, Computational efficiency and universality of timed P systems with membrane creation, Soft Computing, 19(11) (2015), 3043-3053
[38] Keqin Jiang, Linqiang Pan, Spiking neural P systems with anti-spikes working in sequential mode induced by maximum spike number, Neurocomputing, 171(2016), 1674-1683
[39] Keqin Jiang, Wenli Chen, Yuzhou Zhang, Linqiang Pan, Spiking neural P systems with homogeneous neurons and synapses, Neurocomputing, 171(2016), 1548-1555
[40] Linqiang Pan, Gheorghe Paun, Bosheng Song, Flat Maximal Parallelism in P Systems with Promoters, Theoretical Computer Science, 2016, DOI: 10.1016/j.tcs.2015.10.027
[41] Tao Song, Jinbang Xu, Linqiang Pan, On the Universality and Non-universality of Spiking Neural P Systems with Rules on Synapses, IEEE Transactions on NanoBioscience, 2016, DOI: 10.1109/TNB.2015.2503603
[42] Xueming Liu and Linqiang Pan, Predicating Candidate Cancer-Associated Genes in the Human Signalling Network using Centrality, Current Bioinformatics, 2016, DOI: 10.2174/1574893611666151109175318
[43] Tingfang Wu, Zhiqiang Zhang, Gheorghe Paun, Linqiang Pan, Cell-like Spiking Neural P Systems, Theoretical Computer Science, 2016, DOI: 10.1016/j.tcs.2015.12.038
[44] Tao Song, Linqiang Pan, Spiking Neural P Systems with Request Rules, Neurocomputing, 2016, DOI: 10.1016/j.neucom.2016.02.023
