Lin Ji

983 total citations
51 papers, 807 citations indexed

About

Lin Ji is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Lin Ji has authored 51 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 17 papers in Statistical and Nonlinear Physics and 11 papers in Molecular Biology. Recurrent topics in Lin Ji's work include Nonlinear Dynamics and Pattern Formation (17 papers), stochastic dynamics and bifurcation (13 papers) and Neural dynamics and brain function (8 papers). Lin Ji is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (17 papers), stochastic dynamics and bifurcation (13 papers) and Neural dynamics and brain function (8 papers). Lin Ji collaborates with scholars based in China, United States and New Zealand. Lin Ji's co-authors include Xiuhui Zhang, Qian‐Shu Li, Hongxia Zhao, Haixiang Hu, Dan Zhao, Tao Cai, Avinash Kumar Ágarwal, Qian Shu Li, Yanhong Hou and Chengjun Huang and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Chemical Physics Letters.

In The Last Decade

Lin Ji

47 papers receiving 771 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lin Ji China	13	356	177	170	151	114	51	807
Sergey V. Lishchuk United Kingdom	16	360 1.0×	111 0.6×	35 0.2×	236 1.6×	45 0.4×	52	893
Ken Takeuchi Japan	17	466 1.3×	15 0.1×	23 0.1×	9 0.1×	29 0.3×	68	986
I. Santamarı́a-Holek Mexico	14	251 0.7×	92 0.5×	26 0.2×	84 0.6×		70	732
Thomas Hocker Switzerland	15	625 1.8×	11 0.1×	32 0.2×	43 0.3×	5 0.0×	38	934
Georg Ganzenmüller Germany	14	253 0.7×	13 0.1×	99 0.6×	118 0.8×	3 0.0×	30	663
Hongfei Ye China	20	511 1.4×	13 0.1×	179 1.1×	319 2.1×	12 0.1×	113	1.4k
Priya Subramanian United Kingdom	16	157 0.4×	128 0.7×	9 0.1×	259 1.7×	2 0.0×	35	659
M. Fischer Germany	18	205 0.6×	28 0.2×	133 0.8×	376 2.5×	2 0.0×	109	1.4k
V. Torra Spain	18	512 1.4×	47 0.3×	112 0.7×	27 0.2×	2 0.0×	60	824
Irmgard Bischofberger United States	15	282 0.8×	117 0.7×	23 0.1×	206 1.4×		36	960

Countries citing papers authored by Lin Ji

Since Specialization

Citations

This map shows the geographic impact of Lin Ji's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lin Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Ji more than expected).

Fields of papers citing papers by Lin Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lin Ji. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lin Ji. The network helps show where Lin Ji may publish in the future.

Co-authorship network of co-authors of Lin Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Ji. A scholar is included among the top collaborators of Lin Ji based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lin Ji. Lin Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhu, Cheng, Li Zeng, Yuhui Li, et al.. (2025). A multi-label domain adaptation method for unseen compound fault recognition in FCC settler catalyst loss processes. Process Safety and Environmental Protection. 203. 107885–107885.

Ji, Lin, et al.. (2024). Kinetical driving force analysis of unstable combustion behavior in ammonia/hydrogen blending system. Combustion and Flame. 265. 113450–113450. 7 indexed citations

Wang, Yueqiang, et al.. (2024). Artificial neural network aided unstable combustion state prediction and dominant chemical kinetic analysis. Chemical Engineering Science. 300. 120567–120567.

An, Ning, Ling Liu, Lin Ji, & Xiuhui Zhang. (2022). Molecular-level nucleation mechanism of iodic acid and methanesulfonic acid. Atmospheric chemistry and physics. 22(9). 6103–6114. 20 indexed citations

An, Ning, Ling Liu, Lin Ji, & Xiuhui Zhang. (2021). Molecular-level evidence for marine aerosol nucleation of iodic acid and methanesulfonic acid. 1 indexed citations

Wang, Jie, et al.. (2021). Statistical degree screening method for combustion mechanism reduction. Combustion and Flame. 230. 111440–111440. 4 indexed citations

Wu, Qun‐Yan, Yuting Song, Lin Ji, et al.. (2017). Theoretically unraveling the separation of Am(iii)/Eu(iii): insights from mixed N,O-donor ligands with variations of central heterocyclic moieties. Physical Chemistry Chemical Physics. 19(39). 26969–26979. 77 indexed citations

Ji, Lin, et al.. (2015). Numerical study of the influence of recurrent connexions on the signaling in excitable systems: The dynamical effect of noise recycling. Applied Mathematical Modelling. 39(21). 6685–6693. 4 indexed citations

Ji, Lin. (2013). Theoretical Study on Interactions Between Pyridinium-Based Ionic Liquids and Thiophenic Compounds. Acta Petrolei Sinica(Petroleum Processing Section). 1 indexed citations

10.

Ji, Lin, et al.. (2013). Experimental evidence of using a circularly polarized electric field to control spiral turbulence. Physical Review E. 88(4). 42919–42919. 22 indexed citations

11.

Zhao, Hongxia, Haixiang Hu, Xiuhui Zhang, et al.. (2013). Quantum chemical and molecular dynamics studies of imidazoline derivatives as corrosion inhibitor and quantitative structure–activity relationship (QSAR) analysis using the support vector machine (SVM) method. Journal of Theoretical and Computational Chemistry. 13(2). 1450012–1450012. 11 indexed citations

12.

Ji, Lin, et al.. (2013). Common noise induced synchronous circadian oscillations in uncoupled non-identical systems. Biophysical Chemistry. 173-174. 15–20. 1 indexed citations

13.

Wang, Cong‐Zhi, Nan Li, Xiuhui Zhang, Lin Ji, & Qian‐Shu Li. (2011). The first binuclear sandwich-like complexes based on the aromatic tetraatomic species. Dalton Transactions. 40(26). 6922–6922. 3 indexed citations

14.

Lang, Xiufeng, Qishao Lu, & Lin Ji. (2011). SYNCHRONIZATION AND ANTICOHERENCE RESONANCE OF BURSTING NEURONS WITH SPATIALLY CORRELATED NOISE. International Journal of Modern Physics B. 25(32). 4499–4512. 2 indexed citations

15.

Ji, Lin, Weiguo Xu, & Qian‐Shu Li. (2008). The influence of environmental noise on circadian gene expression in Drosophila. Applied Mathematical Modelling. 33(4). 2109–2113. 1 indexed citations

16.

Ji, Lin, Weiguo Xu, & Qian‐Shu Li. (2008). NOISE EFFECT ON INTRACELLULAR CALCIUM OSCILLATIONS IN A MODEL WITH DELAYED COUPLING. Fluctuation and Noise Letters. 8(1). L1–L9. 2 indexed citations

17.

Li, Qian Shu, et al.. (2007). Superlattice patterns and spatial instability induced by delay feedback. Physical Chemistry Chemical Physics. 10(3). 438–441. 8 indexed citations

18.

Ji, Lin & Qian Shu Li. (2006). Turing pattern formation in coupled reaction-diffusion systems: Effects of sub-environment and external influence. Chemical Physics Letters. 424(4-6). 432–436. 12 indexed citations

19.

Ji, Lin, et al.. (2004). Control of Turing pattern formation by delayed feedback. Physical Review E. 69(4). 46205–46205. 18 indexed citations

20.

Cox, Steven J. & Lin Ji. (2000). Identification of the cable parameters in the somatic shunt model. Biological Cybernetics. 83(2). 151–159. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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