Hui‐Jia Li

3.4k total citations · 1 hit paper
108 papers, 2.7k citations indexed

About

Hui‐Jia Li is a scholar working on Statistical and Nonlinear Physics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Hui‐Jia Li has authored 108 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Statistical and Nonlinear Physics, 18 papers in Molecular Biology and 17 papers in Artificial Intelligence. Recurrent topics in Hui‐Jia Li's work include Complex Network Analysis Techniques (72 papers), Opinion Dynamics and Social Influence (50 papers) and Bioinformatics and Genomic Networks (12 papers). Hui‐Jia Li is often cited by papers focused on Complex Network Analysis Techniques (72 papers), Opinion Dynamics and Social Influence (50 papers) and Bioinformatics and Genomic Networks (12 papers). Hui‐Jia Li collaborates with scholars based in China, Taiwan and Slovenia. Hui‐Jia Li's co-authors include Zhan Bu, Jie Cao, Yong Shi, Lin Wang, Zhen Wang, Aihua Li, Matjaž Perc, Jun Hu, Yuyao Wang and Jiuchuan Jiang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Hui‐Jia Li

103 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Punishment diminishes the benefits of network reciprocity in social dilemma experiments

2017 249 citations Zhen Wang, Hui‐Jia Li et al. profile →

Peers

Hui‐Jia Li

SNP

AI

CNC

SPS

MB

James P. Bagrow United States

Wenbo Du China

Duanbing Chen China

Mao-Bin Hu China

Chao Gao China

An Zeng China

Javier Borge‐Holthoefer Spain

Zhan Bu China

Jean‐Charles Delvenne Belgium

James P. Bagrow United States

Hui‐Jia Li

1.7k ×1.0

SNP

613 ×1.0

AI

433 ×0.9

CNC

354 ×0.8

SPS

455 ×1.9

MB

Citations per year, relative to Hui‐Jia Li Hui‐Jia Li (= 1×) peers James P. Bagrow

Countries citing papers authored by Hui‐Jia Li

Since Specialization

Citations

This map shows the geographic impact of Hui‐Jia Li'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 Hui‐Jia Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui‐Jia Li more than expected).

Fields of papers citing papers by Hui‐Jia Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Jia Li. 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 Hui‐Jia Li. The network helps show where Hui‐Jia Li may publish in the future.

Co-authorship network of co-authors of Hui‐Jia Li

This figure shows the co-authorship network connecting the top 25 collaborators of Hui‐Jia Li. A scholar is included among the top collaborators of Hui‐Jia Li 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 Hui‐Jia Li. Hui‐Jia Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Yuan, Manman, et al.. (2025). A novel fuzzy-rule-based deep fusion of hypergraph multi-modal for Alzheimer’s disease detection. Neurocomputing. 650. 130855–130855.

2.

Li, Hui‐Jia, et al.. (2025). Regional climate change action and corporate ESG performance - Evidence from China. International Review of Economics & Finance. 100. 104081–104081. 3 indexed citations

3.

Li, Hui‐Jia, et al.. (2024). Network Dismantling on Signed Network by Evolutionary Deep Reinforcement Learning. Sensors. 24(24). 8026–8026.

4.

Lian, Cai-Yu, Hui‐Jia Li, Yue Li, et al.. (2024). Insufficient FUNDC1-dependent mitophagy due to early environmental cadmium exposure triggers mitochondrial redox imbalance to aggravate diet-induced lipotoxicity. Environmental Pollution. 361. 124724–124724. 5 indexed citations

5.

Li, Hui‐Jia, et al.. (2022). Segregation dynamics driven by network leaders. New Journal of Physics. 24(5). 53007–53007. 3 indexed citations

6.

Ma, Jinlong, Peng Wang, & Hui‐Jia Li. (2022). Directed Network Disassembly Method Based on Non-Backtracking Matrix. Applied Sciences. 12(23). 12047–12047. 1 indexed citations

7.

Li, Xiaopeng, et al.. (2022). Impact of resource-based conditional interaction on cooperation in spatial social dilemmas. Physica A Statistical Mechanics and its Applications. 594. 127055–127055. 22 indexed citations

8.

Su, Yongmei, et al.. (2021). Optimal Control of a Cell-to-Cell Fractional-Order Model with Periodic Immune Response for HCV. Symmetry. 13(11). 2121–2121. 6 indexed citations

9.

Li, Hui‐Jia, et al.. (2021). The dynamics of epidemic spreading on signed networks. Chaos Solitons & Fractals. 151. 111294–111294. 85 indexed citations

10.

Xia, Chengyi, et al.. (2021). A Fast Community Detection Algorithm Based on Reconstructing Signed Networks. IEEE Systems Journal. 16(1). 614–625. 23 indexed citations

11.

Li, Hui‐Jia, Lin Wang, Yan Zhang, & Matjaž Perc. (2020). Optimization of identifiability for efficient community detection. New Journal of Physics. 22(6). 63035–63035. 114 indexed citations

12.

Hu, Jun, Hui‐Jia Li, Jie Gao, Zebo Zhou, & Chengyi Xia. (2020). Identifying Desirable Function Perturbations in Signaling Pathways Through Stochastic Analysis. IEEE Access. 8. 15448–15458. 1 indexed citations

13.

Li, Hui‐Jia, Zhan Bu, Zhen Wang, & Jie Cao. (2019). Dynamical Clustering in Electronic Commerce Systems via Optimization and Leadership Expansion. IEEE Transactions on Industrial Informatics. 16(8). 5327–5334. 125 indexed citations

14.

Cao, Jie, Zhan Bu, Yuyao Wang, et al.. (2019). Detecting Prosumer-Community Groups in Smart Grids From the Multiagent Perspective. IEEE Transactions on Systems Man and Cybernetics Systems. 49(8). 1652–1664. 141 indexed citations

15.

Li, Guijun, Zhidong Liu, Jun Hu, & Hui‐Jia Li. (2019). Understanding the network optimization based on the Physarum-inspired model. Physics of Life Reviews. 29. 29–31. 1 indexed citations

16.

Bu, Zhan, Hui‐Jia Li, Chengcui Zhang, et al.. (2019). Graph K-means Based on Leader Identification, Dynamic Game, and Opinion Dynamics. IEEE Transactions on Knowledge and Data Engineering. 32(7). 1348–1361. 132 indexed citations

17.

Li, Hui‐Jia, Zhan Bu, Yulong Li, et al.. (2018). Evolving the attribute flow for dynamical clustering in signed networks. Chaos Solitons & Fractals. 110. 20–27. 41 indexed citations

18.

Xiang, Ju, Hui‐Jia Li, Zhan Bu, et al.. (2018). Critical analysis of (Quasi-)Surprise for community detection in complex networks. Scientific Reports. 8(1). 14459–14459. 8 indexed citations

19.

Li, Hui‐Jia, et al.. (2018). Enhance the Performance of Network Computation by a Tunable Weighting Strategy. IEEE Transactions on Emerging Topics in Computational Intelligence. 2(3). 214–223. 83 indexed citations

20.

Li, Hui‐Jia, Zhan Bu, Aihua Li, Zhidong Liu, & Yong Shi. (2016). Fast and Accurate Mining the Community Structure: Integrating Center Locating and Membership Optimization. IEEE Transactions on Knowledge and Data Engineering. 28(9). 2349–2362. 144 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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