Jing Wu

3.2k total citations · 1 hit paper
190 papers, 2.2k citations indexed

About

Jing Wu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Jing Wu has authored 190 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Electrical and Electronic Engineering, 74 papers in Computer Networks and Communications and 15 papers in Information Systems. Recurrent topics in Jing Wu's work include Advanced Optical Network Technologies (52 papers), Software-Defined Networks and 5G (32 papers) and Optical Network Technologies (30 papers). Jing Wu is often cited by papers focused on Advanced Optical Network Technologies (52 papers), Software-Defined Networks and 5G (32 papers) and Optical Network Technologies (30 papers). Jing Wu collaborates with scholars based in China, Canada and United States. Jing Wu's co-authors include Hao Jiang, Igor Rudan, Lefkos Middleton, Tom C. Russ, Ian J. Deary, Evropi Τheodoratou, Wei Wang, Li Liu, Harry Campbell and Josip Car and has published in prestigious journals such as The Lancet, Nucleic Acids Research and The Science of The Total Environment.

In The Last Decade

Jing Wu

166 papers receiving 2.1k citations

Hit Papers

Epidemiology of Alzheimer's disease and other forms of de... 2013 2026 2017 2021 2013 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 Wu China 24 556 542 254 180 151 190 2.2k
Xiaoping Fan China 33 811 1.5× 205 0.4× 191 0.8× 295 1.6× 117 0.8× 307 3.8k
Tao Liu China 33 557 1.0× 244 0.5× 166 0.7× 215 1.2× 50 0.3× 260 4.4k
Amir M. Rahmani United States 32 576 1.0× 1.4k 2.7× 72 0.3× 431 2.4× 171 1.1× 231 4.7k
Yuan Zhang China 25 411 0.7× 318 0.6× 158 0.6× 358 2.0× 110 0.7× 180 2.8k
Huiru Zheng United Kingdom 31 434 0.8× 198 0.4× 199 0.8× 403 2.2× 97 0.6× 272 3.8k
Stephen J. Redmond Australia 36 489 0.9× 307 0.6× 200 0.8× 411 2.3× 288 1.9× 152 4.6k
James M. Thompson Canada 20 333 0.6× 482 0.9× 113 0.4× 58 0.3× 24 0.2× 76 2.2k
Carlos León Spain 24 880 1.6× 202 0.4× 88 0.3× 270 1.5× 45 0.3× 140 1.9k
Tianhua Chen China 26 856 1.5× 336 0.6× 83 0.3× 399 2.2× 44 0.3× 148 2.5k
Norbert Noury France 27 586 1.1× 639 1.2× 126 0.5× 419 2.3× 61 0.4× 104 3.2k

Countries citing papers authored by Jing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Wu. A scholar is included among the top collaborators of Jing Wu 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 Wu. Jing Wu 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.
Xie, Mao, et al.. (2025). Underneath social media texts: Sentiment responses to public health emergency during 2022 COVID-19 pandemic in China. International Journal of Disaster Risk Reduction. 118. 105239–105239. 1 indexed citations
2.
Ni, R. H., et al.. (2025). Point-to-Point Regression: Accurate Infrared Small Target Detection With Single-Point Annotation. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–19.
3.
Mei, Yi, et al.. (2025). Exploring the restorative benefits of Kuang-Ao features in urban slow-moving greenways based on the healthy city concept. Journal of Asian Architecture and Building Engineering. 25(2). 1523–1537.
4.
Li, Xiaobo, Bincheng Li, Zhen Zhu, et al.. (2025). STAMF: Synergistic transformer and mamba fusion network for RGB-Polarization based underwater salient object detection. Information Fusion. 122. 103182–103182. 8 indexed citations
5.
Chen, Liqiong, Xin‐She Yang, Shu Wang, et al.. (2025). PFAN: progressive feature aggregation network for lightweight image super-resolution. The Visual Computer. 41(11). 8431–8450. 1 indexed citations
6.
Wu, Jing, et al.. (2024). Color-preserving visible and near-infrared image fusion for removing fog. Infrared Physics & Technology. 138. 105252–105252. 2 indexed citations
7.
Huang, Jian, Ying Gui, Jing Wu, & Yubo Xie. (2024). Causal effects of socioeconomic traits on frailty: a Mendelian randomization study. Frontiers in Medicine. 11. 1344217–1344217. 2 indexed citations
8.
Wu, Jing, Qimei Chen, Hao Jiang, et al.. (2024). Joint Power and Coverage Control of Massive UAVs in Post-Disaster Emergency Networks: An Aggregative Game-Theoretic Learning Approach. IEEE Transactions on Network Science and Engineering. 11(4). 3782–3799. 6 indexed citations
9.
Niu, Siping, et al.. (2023). Microplastics and microorganisms in sediments from stormwater drain system. The Science of The Total Environment. 889. 164284–164284. 8 indexed citations
10.
Wu, Jing, et al.. (2023). Multi-objective reinforcement learning-based energy management for fuel cell vehicles considering lifecycle costs. International Journal of Hydrogen Energy. 48(95). 37385–37401. 22 indexed citations
12.
Wu, Jing, et al.. (2021). Factors influencing COVID-19 knowledge-gap: a cross-sectional study in China. BMC Public Health. 21(1). 1826–1826. 14 indexed citations
13.
Wu, Jing, et al.. (2021). Resource Allocation for Delay-Sensitive Vehicle-to-Multi-Edges (V2Es) Communications in Vehicular Networks: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Transactions on Network Science and Engineering. 8(2). 1873–1886. 41 indexed citations
14.
Tan, Liang, et al.. (2020). A New Framework for DDoS Attack Detection and Defense in SDN Environment. IEEE Access. 8. 161908–161919. 118 indexed citations
15.
Su, Yingying, Huixin Liu, Jing Wu, Lin Zhu, & Ning Wang. (2014). [Distribution of HIV-1 genotypes in China: a systematic review].. PubMed. 35(10). 1164–8. 24 indexed citations
16.
Wu, Jing, et al.. (2007). Backtracking routing mechanism for improving link failure recovery. Wuhan University Journal of Natural Sciences. 12(3). 462–466. 1 indexed citations
17.
Zhang, Hanxi, et al.. (2005). Service-oriented Layer 1 Virtual Private Network for Grid Applications.. 106–111. 1 indexed citations
18.
Zhang, Hanxi, et al.. (2004). A cycle-based rerouting scheme for wavelength-routed WDM networks. Proceedings of the International Conference on Parallel Processing. 427–433. 5 indexed citations
19.
Wu, Jing, et al.. (2004). All-optical network demonstrator program centered around a testbed for verifying and validating next generation optical networks. Proceedings of the International Conference on Parallel Processing. 387–393. 1 indexed citations
20.
Wu, Jing, et al.. (2003). User-managed end-to-end lightpath provisioning over CA*net 4. 10 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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