Jie Ding

1.5k total citations
84 papers, 1.1k citations indexed

About

Jie Ding is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jie Ding has authored 84 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 17 papers in Computer Vision and Pattern Recognition and 11 papers in Computer Networks and Communications. Recurrent topics in Jie Ding's work include Complex Network Analysis Techniques (11 papers), Neural Networks Stability and Synchronization (7 papers) and Face and Expression Recognition (6 papers). Jie Ding is often cited by papers focused on Complex Network Analysis Techniques (11 papers), Neural Networks Stability and Synchronization (7 papers) and Face and Expression Recognition (6 papers). Jie Ding collaborates with scholars based in China, Singapore and United States. Jie Ding's co-authors include Christopher W. Churchill, Ping-Yu Shih, J. C. Charlton, S.N. Balakrishnan, Frank L. Lewis, Changyun Wen, Guoqi Li, S. G. Zonak, Mohammadreza Shahriari and George H. Sigel and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Jie Ding

74 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jie Ding China 18 203 202 197 183 145 84 1.1k
Ke Hu China 20 129 0.6× 86 0.4× 54 0.3× 71 0.4× 27 0.2× 115 1.1k
Yonghua Liu China 16 72 0.4× 61 0.3× 194 1.0× 30 0.2× 34 0.2× 87 785
Zhongyuan Zhang China 18 141 0.7× 61 0.3× 324 1.6× 107 0.6× 8 0.1× 103 1.1k
Keiji Yamada Japan 20 361 1.8× 34 0.2× 448 2.3× 301 1.6× 26 0.2× 178 1.9k
Andreas Jahn Germany 20 326 1.6× 44 0.2× 51 0.3× 51 0.3× 47 0.3× 56 939
Keisuke Okumura Japan 19 891 4.4× 27 0.1× 361 1.8× 157 0.9× 8 0.1× 95 1.9k
Yuguang Chen China 20 194 1.0× 259 1.3× 340 1.7× 23 0.1× 9 0.1× 126 1.4k
Christian Schwarz Germany 17 155 0.8× 98 0.5× 524 2.7× 64 0.3× 3 0.0× 106 1.4k
Zhipeng Chen China 17 354 1.7× 159 0.8× 510 2.6× 42 0.2× 13 0.1× 166 1.3k

Countries citing papers authored by Jie Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jie Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Ding. A scholar is included among the top collaborators of Jie Ding 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 Jie Ding. Jie Ding 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.
Li, Jia, et al.. (2025). Graph neural networks for network science: A mini review. Europhysics Letters (EPL). 150(2). 21001–21001.
2.
3.
Yin, Yanru, Yuan Qin, Hui Chen, et al.. (2025). Gain-Switched Tm:YAG tunable single-longitudinal-mode laser using twisted-mode technique. Optics and Lasers in Engineering. 191. 108990–108990. 1 indexed citations
4.
Ding, Jie, et al.. (2025). Parallel neural network combined with adaptive Kalman filter for co-estimation of SOH and SOC of lithium-ion batteries. Journal of Energy Storage. 120. 116455–116455. 4 indexed citations
5.
Yin, Yanru, Yuan Qin, Yaoyao Qi, et al.. (2024). Acousto-optic Q-switched broadband tunable single-longitudinal-mode 2 μm laser using a birefringent filter. Optics & Laser Technology. 182. 112195–112195. 2 indexed citations
6.
Ding, Jie, et al.. (2024). A Graph Transformer-Driven Approach for Network Robustness Learning. IEEE Transactions on Circuits and Systems I Regular Papers. 71(5). 1992–2005. 4 indexed citations
7.
Wang, Lifeng, et al.. (2024). Pricing Design for EV Platoon Charging Network With Hybrid Traffic Flows. IEEE Transactions on Transportation Electrification. 11(1). 1431–1441. 2 indexed citations
8.
9.
Ding, Jie, et al.. (2024). Network Controllability Robustness Learning via Spatial Graph Neural Networks. IEEE Transactions on Network Science and Engineering. 11(5). 4045–4058. 5 indexed citations
10.
Wang, Zhan, Daolin Du, Jie Ding, et al.. (2023). Research on urban safety early warning systems and emergency response mechanisms in snowstorms. SHILAP Revista de lepidopterología. 3(1). 0–0. 3 indexed citations
11.
Ding, Jie, et al.. (2023). MHGAN: A Multi-Headed Generative Adversarial Network for Underwater Sonar Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–16. 8 indexed citations
12.
Ding, Jie, et al.. (2023). Target Controllability of Multiplex Networks With Weighted Interlayer Edges. IEEE Transactions on Network Science and Engineering. 11(1). 313–325. 3 indexed citations
13.
14.
Zhou, Yichen, et al.. (2020). ID Preserving Face Super-Resolution Generative Adversarial Networks. IEEE Access. 8. 138373–138381. 5 indexed citations
15.
Ding, Jie, Changyun Wen, Guoqi Li, et al.. (2020). Target Controllability in Multilayer Networks via Minimum-Cost Maximum-Flow Method. IEEE Transactions on Neural Networks and Learning Systems. 32(5). 1949–1962. 17 indexed citations
16.
Yang, Xulei & Jie Ding. (2020). A Computational Framework for Iceberg and Ship Discrimination: Case Study on Kaggle Competition. IEEE Access. 8. 82320–82327. 12 indexed citations
17.
Ding, Jie, Changyun Wen, Guoqi Li, Xulei Yang, & Tianjiang Hu. (2019). Sparsity-Inspired Optimal Topology Control of Complex Networks. IEEE Transactions on Network Science and Engineering. 7(3). 1825–1839. 7 indexed citations
18.
Ding, Jie, Changyun Wen, Guoqi Li, & Zhenghua Chen. (2019). Key Nodes Selection in Controlling Complex Networks via Convex Optimization. IEEE Transactions on Cybernetics. 51(1). 52–63. 7 indexed citations
19.
Chen, Zhenghua, Chaoyang Jiang, Shili Xiang, et al.. (2019). Smartphone Sensor-Based Human Activity Recognition Using Feature Fusion and Maximum Full a Posteriori. IEEE Transactions on Instrumentation and Measurement. 69(7). 3992–4001. 82 indexed citations
20.
Li, Guoqi, Jie Ding, Changyun Wen, Lei Wang, & Fanghong Guo. (2018). Controlling Directed Networks With Evolving Topologies. IEEE Transactions on Control of Network Systems. 6(1). 176–190. 6 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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