Jing Ren

796 total citations
41 papers, 487 citations indexed

About

Jing Ren is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Jing Ren has authored 41 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Statistical and Nonlinear Physics and 8 papers in Computer Networks and Communications. Recurrent topics in Jing Ren's work include Complex Network Analysis Techniques (13 papers), Advanced Graph Neural Networks (12 papers) and Network Security and Intrusion Detection (7 papers). Jing Ren is often cited by papers focused on Complex Network Analysis Techniques (13 papers), Advanced Graph Neural Networks (12 papers) and Network Security and Intrusion Detection (7 papers). Jing Ren collaborates with scholars based in China, Australia and Macao. Jing Ren's co-authors include Feng Xia, Ivan Lee, Jiaying Liu, Xiangjie Kong, Mingliang Hou, Huan Liu, Bo Xu, Lei Wang, Dongyu Zhang and Wei Luo and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and International Journal of Biological Macromolecules.

In The Last Decade

Jing Ren

36 papers receiving 477 citations

Peers

Jing Ren
Stephen Ranshous United States
Steve Harenberg United States
Mohamed Bouguessa Canada
O‐Joun Lee South Korea
Xianyong Li China
William Hendrix United States
Aman Ullah China
Adeel Baig Pakistan
Minbyul Jeong South Korea
Stephen Ranshous United States
Jing Ren
Citations per year, relative to Jing Ren Jing Ren (= 1×) peers Stephen Ranshous

Countries citing papers authored by Jing Ren

Since Specialization
Citations

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

Fields of papers citing papers by Jing Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing Ren. 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 Jing Ren. The network helps show where Jing Ren may publish in the future.

Co-authorship network of co-authors of Jing Ren

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

All Works

20 of 20 papers shown
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Wang, Lu, et al.. (2025). Interpretable machine learning for predicting properties of multi-component oxide glasses and experimental validation. Ceramics International. 51(20). 30604–30617. 1 indexed citations
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Shang, Zuogang, et al.. (2025). Imbalanced domain adaptation Net for multi-class Electrocardiography signals classification. Biomedical Signal Processing and Control. 108. 107912–107912.
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Xia, Feng, et al.. (2025). Graph Learning. arXiv (Cornell University). 19(4). 371–551.
7.
Yu, Jie, Jing Ren, Yifan Wu, et al.. (2024). Using metabolomics and proteomics to identify the potential urine biomarkers for prediction and diagnosis of gestational diabetes. EBioMedicine. 101. 105008–105008. 12 indexed citations
8.
Ren, Jing, et al.. (2024). Multiple Instance Learning for Cheating Detection and Localization in Online Examinations. IEEE Transactions on Cognitive and Developmental Systems. 16(4). 1315–1326. 8 indexed citations
9.
Zhang, Zhihua, et al.. (2024). MTTEGDM: A Moving Target Evolutionary Game Defense Model Based on Three-Way Decisions. Electronics. 13(4). 734–734. 1 indexed citations
10.
Zhou, Jing, Jie Yu, Jing Ren, et al.. (2024). Association of maternal blood metabolomics and gestational diabetes mellitus risk: a systematic review and meta-analysis. Reviews in Endocrine and Metabolic Disorders. 26(2). 205–222. 1 indexed citations
11.
Liu, Fengchun, et al.. (2023). A Review of Federated Meta-Learning and Its Application in Cyberspace Security. Electronics. 12(15). 3295–3295. 11 indexed citations
12.
He, Sheng, et al.. (2022). Identification of hub genes associated with acute kidney injury induced by renal ischemia–reperfusion injury in mice. Frontiers in Physiology. 13. 951855–951855. 10 indexed citations
13.
Ren, Jing, et al.. (2022). Cordyceps militaris acidic polysaccharides improve learning and memory impairment in mice with exercise fatigue through the PI3K/NRF2/HO-1 signalling pathway. International Journal of Biological Macromolecules. 227. 158–172. 31 indexed citations
14.
Yu, Shuo, et al.. (2022). Graph Learning for Fake Review Detection. Frontiers in Artificial Intelligence. 5. 922589–922589. 17 indexed citations
15.
Zhang, Chunying, Wenjie Wang, Lu Liu, Jing Ren, & Liya Wang. (2022). Three-Branch Random Forest Intrusion Detection Model. Mathematics. 10(23). 4460–4460. 13 indexed citations
16.
Wang, Fangfang, et al.. (2022). HIPK2 attenuates bleomycin-induced pulmonary fibrosis by suppressing the Wnt/β-catenin signaling pathway. SHILAP Revista de lepidopterología. 60(3). 247–259. 2 indexed citations
17.
Liu, Jiaying, et al.. (2022). Deep Graph Learning for Anomalous Citation Detection. IEEE Transactions on Neural Networks and Learning Systems. 33(6). 2543–2557. 40 indexed citations
18.
Hou, Mingliang, et al.. (2021). Cross Network Representation Matching with Outliers. FedUni ResearchOnline (Federation University Australia). 80. 951–958. 1 indexed citations
19.
Wang, Lei, Jing Ren, Bo Xu, et al.. (2020). MODEL: Motif-Based Deep Feature Learning for Link Prediction. IEEE Transactions on Computational Social Systems. 7(2). 503–516. 40 indexed citations
20.
Ren, Jing, et al.. (2020). A Novel Solution to JSPs Based on Long Short-Term Memory and Policy Gradient Algorithm. International Journal of Simulation Modelling. 19(1). 157–168. 15 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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