Jing Ren

4.0k total citations · 2 hit papers
87 papers, 2.6k citations indexed

About

Jing Ren is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Jing Ren has authored 87 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 17 papers in Control and Systems Engineering and 15 papers in Aerospace Engineering. Recurrent topics in Jing Ren's work include Robotic Path Planning Algorithms (21 papers), Control and Dynamics of Mobile Robots (14 papers) and Medical Image Segmentation Techniques (13 papers). Jing Ren is often cited by papers focused on Robotic Path Planning Algorithms (21 papers), Control and Dynamics of Mobile Robots (14 papers) and Medical Image Segmentation Techniques (13 papers). Jing Ren collaborates with scholars based in Canada, China and United States. Jing Ren's co-authors include Liqun Luo, Katherine E. DeLoach, Brandon Weissbourd, Kazunari Miyamichi, Minmin Luo, Xishi Huang, Kenneth McIsaac, Rajni V. Patel, Kevin T. Beier and Fei Hu and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jing Ren

80 papers receiving 2.6k citations

Hit Papers

Viral-genetic tracing of the input–output organization of... 2015 2026 2018 2022 2015 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Ren Canada 21 1.1k 781 773 327 254 87 2.6k
Michael Krause Germany 31 1.1k 1.0× 512 0.7× 1.0k 1.3× 270 0.8× 136 0.5× 108 3.4k
Lin Chen China 29 500 0.4× 1.2k 1.5× 594 0.8× 140 0.4× 65 0.3× 149 2.9k
Tetsuo Ono Japan 30 840 0.7× 1.6k 2.0× 205 0.3× 426 1.3× 226 0.9× 149 3.6k
Natalia A. Shevtsova United States 28 368 0.3× 1.0k 1.3× 169 0.2× 288 0.9× 819 3.2× 64 2.5k
V. Srinivasa Chakravarthy India 24 446 0.4× 609 0.8× 247 0.3× 249 0.8× 30 0.1× 118 2.1k
Benjamin F. Grewe Switzerland 22 1.8k 1.6× 1.5k 1.9× 504 0.7× 40 0.1× 135 0.5× 38 3.2k
Colin J. Akerman United Kingdom 30 2.0k 1.7× 1.4k 1.7× 1.1k 1.5× 72 0.2× 100 0.4× 54 3.4k

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
2.
Lahiri, Somnath, Jing Ren, & Xianke Lin. (2024). Deep Learning-Based Stereopsis and Monocular Depth Estimation Techniques: A Review. SHILAP Revista de lepidopterología. 6(1). 305–351. 7 indexed citations
3.
Ren, Jing, et al.. (2024). Fire Recognition Method Based on PSO-BP Neural Network and ResNet50. International Journal of Pattern Recognition and Artificial Intelligence. 38(13).
4.
Ren, Jing, Baifan Wang, Hua‐Qing Yin, et al.. (2024). Single Dispersion of Fe(H2O)2‐Based Polyoxometalate on Polymeric Carbon Nitride for Biomimetic CH4 Photooxidation. Advanced Materials. 36(31). e2403101–e2403101. 20 indexed citations
5.
Zhang, Zhuoran, et al.. (2024). Polyoxometalate‐Based Single‐Atom Catalyst with Precise Structure and Extremely Exposed Active Site for Efficient H 2 Evolution. Angewandte Chemie International Edition. 64(4). e202416711–e202416711. 27 indexed citations
6.
Zhang, Zhuoran, Wenxiong Shi, Jing Ren, et al.. (2024). Polyoxometalate‐Based Single‐Atom Catalyst with Precise Structure and Extremely Exposed Active Site for Efficient H 2 Evolution. Angewandte Chemie. 137(4). 2 indexed citations
7.
Xu, Lin, et al.. (2024). Research on Vehicle and Pedestrian Object Detection Algorithm based on Enhanced YOLOv5s. 3166–3171. 1 indexed citations
8.
Li, Zhongyu, Jingyi Liu, Yi Wu, et al.. (2023). D-LMBmap: a fully automated deep-learning pipeline for whole-brain profiling of neural circuitry. Nature Methods. 20(10). 1593–1604. 19 indexed citations
9.
Wang, Ye, Jiangwei Zhang, Wenxiong Shi, et al.. (2022). W Single‐Atom Catalyst for CH4 Photooxidation in Water Vapor. Advanced Materials. 34(33). e2204448–e2204448. 60 indexed citations
10.
Shuster, S. Andrew, Mark J. Wagner, Jing Ren, et al.. (2021). The relationship between birth timing, circuit wiring, and physiological response properties of cerebellar granule cells. Proceedings of the National Academy of Sciences. 118(23). 16 indexed citations
11.
Shahait, Mohammed, Mitchell G. Goldenberg, Amir Baghdadi, et al.. (2020). Evaluation of a Virtual Reality Percutaneous Nephrolithotomy (PCNL) Surgical Simulator. Frontiers in Robotics and AI. 6. 145–145. 24 indexed citations
12.
Ren, Jing, Alina Isakova, Drew Friedmann, et al.. (2019). Single-cell transcriptomes and whole-brain projections of serotonin neurons in the mouse dorsal and median raphe nuclei. eLife. 8. 180 indexed citations
13.
Ren, Jing, et al.. (2019). Impact of Hyperbaric Oxygen on the Healing of Teeth Extraction Sockets and Alveolar Ridge Preservation. Clinical Oral Investigations. 24(8). 2591–2601. 5 indexed citations
14.
Ren, Jing, Drew Friedmann, Jing Xiong, et al.. (2018). Anatomically Defined and Functionally Distinct Dorsal Raphe Serotonin Sub-systems. Cell. 175(2). 472–487.e20. 306 indexed citations breakdown →
15.
Ren, Jing, et al.. (2017). Automatic error correction using adaptive weighting for vessel-based deformable image registration. Biomedical Engineering Letters. 7(2). 173–181. 2 indexed citations
16.
Zhou, Mingming & Jing Ren. (2016). Use of Cognitive and Metacognitive Strategies in Online Search: An Eye-Tracking Study.. International Association for Development of the Information Society. 5 indexed citations
17.
Weissbourd, Brandon, Jing Ren, Katherine E. DeLoach, et al.. (2014). Presynaptic Partners of Dorsal Raphe Serotonergic and GABAergic Neurons. Neuron. 83(3). 645–662. 248 indexed citations
18.
Ren, Jing. (2012). Analysis of New Rural Cooperative Medical System Reimbursement Policy for Special Diseases in Outpatient Services. Zhongguo weisheng jingji. 1 indexed citations
19.
Huang, Xishi, John Moore, G Guiraudon, et al.. (2009). Dynamic 2D Ultrasound and 3D CT Image Registration of the Beating Heart. IEEE Transactions on Medical Imaging. 28(8). 1179–1189. 58 indexed citations
20.
Huang, Xishi, N. A. Hill, Jing Ren, et al.. (2005). Dynamic 3D Ultrasound and MR Image Registration of the Beating Heart. Lecture notes in computer science. 8(Pt 2). 171–178. 42 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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