Jing Chen

3.8k total citations
286 papers, 2.7k citations indexed

About

Jing Chen is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Jing Chen has authored 286 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Computer Vision and Pattern Recognition, 77 papers in Electrical and Electronic Engineering and 51 papers in Artificial Intelligence. Recurrent topics in Jing Chen's work include Advanced Neural Network Applications (19 papers), Advanced Fiber Optic Sensors (16 papers) and Photonic and Optical Devices (16 papers). Jing Chen is often cited by papers focused on Advanced Neural Network Applications (19 papers), Advanced Fiber Optic Sensors (16 papers) and Photonic and Optical Devices (16 papers). Jing Chen collaborates with scholars based in China, Singapore and Hong Kong. Jing Chen's co-authors include Huanqiang Zeng, Hao Jiang, Kai‐Kuang Ma, Xiren Miao, Xinyu Liu, Jianqing Zhu, Junhui Hou, Canhui Cai, Lin Ma and Zhangkai Ni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Jing Chen

258 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Chen China 27 1.2k 496 400 395 274 286 2.7k
Wei Chen China 29 910 0.8× 527 1.1× 328 0.8× 486 1.2× 193 0.7× 274 3.2k
Jing Tian China 32 1.4k 1.2× 407 0.8× 789 2.0× 507 1.3× 90 0.3× 245 3.5k
Yixuan Li China 21 865 0.7× 288 0.6× 313 0.8× 290 0.7× 125 0.5× 86 1.8k
Ding Liu China 29 995 0.9× 716 1.4× 298 0.7× 721 1.8× 349 1.3× 252 3.5k
Chao Li China 22 697 0.6× 379 0.8× 271 0.7× 204 0.5× 63 0.2× 169 2.1k
Min Zhang China 26 461 0.4× 542 1.1× 362 0.9× 370 0.9× 368 1.3× 181 2.3k
Yu Zhou China 26 576 0.5× 356 0.7× 222 0.6× 767 1.9× 98 0.4× 167 2.2k
Chenwei Deng China 22 1.5k 1.2× 536 1.1× 726 1.8× 1.1k 2.9× 291 1.1× 90 3.2k
Zhixin Li China 29 1.3k 1.1× 574 1.2× 135 0.3× 927 2.3× 265 1.0× 367 4.4k
Xin Yang China 27 2.4k 2.0× 257 0.5× 540 1.4× 587 1.5× 251 0.9× 230 3.7k

Countries citing papers authored by Jing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Chen. A scholar is included among the top collaborators of Jing Chen 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 Chen. Jing Chen 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
1.
Chen, Qiuyang, et al.. (2025). Zygomatic Osteotomy surgery design software based on skull CT scans - Self-supervised algo reduces workload. Journal of Cranio-Maxillofacial Surgery. 53(5). 576–589. 1 indexed citations
2.
Xie, Peisi, Jing Chen, Yongjun Xia, & Zongwei Cai. (2024). MALDI and MALDI-2 mass spectrometry imaging contribute to revealing the alternations in lipid metabolism in germinating soybean seeds. Chinese Chemical Letters. 36(8). 110595–110595. 4 indexed citations
3.
Hu, Zhenzhen, et al.. (2024). VAOS: Enhancing the stability of cooperative multi-agent policy learning. Knowledge-Based Systems. 304. 112474–112474. 2 indexed citations
4.
Luo, Yuemei, et al.. (2024). Distortion Tolerant Method for Fiber Bragg Grating Sensor Network Using Estimation of Distribution Algorithm and Convolutional Neural Network. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 2 indexed citations
6.
Zhu, Yanying, Jingyi Cheng, Zao Yi, et al.. (2023). Spectrally selective solar absorber and thermal infrared suppression based on hollow cylindrical microstructures. Optics Communications. 549. 129910–129910. 66 indexed citations
7.
Ren, Zhipeng, et al.. (2023). Online NBTI-induced partially depleted (PD) SOI degradation and recovery prediction utilizing long short-term memory (LSTM). Microelectronics Reliability. 142. 114932–114932. 4 indexed citations
8.
Li, Yuchun, et al.. (2023). A dual attention-guided 3D convolution network for automatic segmentation of prostate and tumor. Biomedical Signal Processing and Control. 85. 104755–104755. 4 indexed citations
9.
Zhao, Jun, et al.. (2023). Analysis of the Mechanical Performance of Sleeve Considering the Different Distributions of Grouting Defects. Buildings. 13(11). 2873–2873. 1 indexed citations
10.
Liu, Weifeng, et al.. (2023). AMSeg: A Novel Adversarial Architecture Based Multi-Scale Fusion Framework for Thyroid Nodule Segmentation. IEEE Access. 11. 72911–72924. 9 indexed citations
11.
Chen, Jing, Biao Hou, Bo Ren, Qian Wu, & Licheng Jiao. (2023). An Improved Neural Network Classification Algorithm by Expanding Training Samples for Polarimetric SAR Application. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–16. 4 indexed citations
12.
Chen, Jing, et al.. (2022). Spatial-frequency HEVC multiple description video coding with adaptive perceptual redundancy allocation. Journal of Visual Communication and Image Representation. 88. 103614–103614. 2 indexed citations
13.
Liu, Meichen, Kejun Wang, Ruihang Ji, Shuzhi Sam Ge, & Jing Chen. (2021). Pose transfer generation with semantic parsing attention network for person re-identification. Knowledge-Based Systems. 223. 107024–107024. 13 indexed citations
14.
Wang, Qun, et al.. (2019). Simulation of Sliding Mode Control for PMSM on Account of Variable Exponential Approach Law. 3518–3521. 1 indexed citations
15.
Chen, Jing, Jun Feng, Xia Sun, & Yang Liu. (2019). Co-Training Semi-Supervised Deep Learning for Sentiment Classification of MOOC Forum Posts. Symmetry. 12(1). 8–8. 16 indexed citations
16.
Li, Jianbin, et al.. (2019). Tunnel boring machine cutterhead crack propagation life prediction with time integration method. Advances in Mechanical Engineering. 11(6). 2072154433–2072154433. 8 indexed citations
17.
Chen, Jing, et al.. (2014). Framework Development of Shipping Market Early-Warning System by Using Prosperity Index: A Case Study of Shanghai Dry Bulk Shipping Market. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 1 indexed citations
19.
Chen, Jing, et al.. (2012). A hybrid harmony search algorithm combined with differential evolution for global optimization problems. Chinese Control Conference. 2509–2513. 1 indexed citations
20.
Chen, Jing. (2011). Operant conditioning reflex learning control scheme based on SMC and Elman network. Kongzhi yu juece. 3 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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