Jing Zhang

17.7k total citations · 10 hit papers
571 papers, 9.3k citations indexed

About

Jing Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Jing Zhang has authored 571 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 223 papers in Computer Vision and Pattern Recognition, 133 papers in Artificial Intelligence and 66 papers in Electrical and Electronic Engineering. Recurrent topics in Jing Zhang's work include Advanced Image and Video Retrieval Techniques (46 papers), Advanced Neural Network Applications (42 papers) and Advanced Vision and Imaging (33 papers). Jing Zhang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (46 papers), Advanced Neural Network Applications (42 papers) and Advanced Vision and Imaging (33 papers). Jing Zhang collaborates with scholars based in China, Australia and United States. Jing Zhang's co-authors include Dacheng Tao, Mingjin Zhang, Yang Cao, Jie Guo, Bo Du, Yufei Xu, Zhe Chen, Rui Zhang, Qiming Zhang and Di Wang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Jing Zhang

509 papers receiving 9.0k citations

Hit Papers

Empowering Things With Intelligence: A Survey of the Prog... 2020 2026 2022 2024 2020 2022 2022 2022 2022 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
    2020 449 citations Jing Zhang, Dacheng Tao IEEE Internet of Things Journal profile →
  2. ISNet: Shape Matters for Infrared Small Target Detection
    2022 348 citations Jing Zhang et al. profile →
  3. Transformer-based unsupervised contrastive learning for histopathological image classification
    2022 283 citations Jing Zhang et al. profile →
  4. Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model
    2022 189 citations Jing Zhang, Bo Du et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  5. An Empirical Study of Remote Sensing Pretraining
    2022 166 citations Jing Zhang, Bo Du et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  6. ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond
    2023 145 citations Jing Zhang, Dacheng Tao et al. International Journal of Computer Vision profile →
  7. RKformer: Runge-Kutta Transformer with Random-Connection Attention for Infrared Small Target Detection
    2022 109 citations Jing Zhang, Chaoyue Wang et al. profile →
  8. Dim2Clear Network for Infrared Small Target Detection
    2023 101 citations Jing Zhang et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  9. Joint Spatio-Temporal Modeling for Semantic Change Detection in Remote Sensing Images
    2024 59 citations Lei Ding, Jing Zhang et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  10. MTP: Advancing Remote Sensing Foundation Model via Multitask Pretraining
    2024 52 citations Jing Zhang, Bo Du et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Zhang China 48 3.5k 2.0k 1.4k 1.2k 1.1k 571 9.3k
Huimin Lu China 49 4.4k 1.3× 2.0k 1.0× 1.6k 1.1× 626 0.5× 510 0.5× 372 8.8k
Nikolaos Doulamis Greece 39 2.8k 0.8× 1.4k 0.7× 1.1k 0.8× 931 0.8× 430 0.4× 311 7.9k
Huiyu Zhou United Kingdom 55 4.9k 1.4× 2.1k 1.0× 1.6k 1.2× 965 0.8× 1.6k 1.6× 508 11.6k
Zheng Liu China 54 2.8k 0.8× 1.3k 0.6× 2.1k 1.4× 1.3k 1.1× 1.4k 1.4× 603 12.1k
Chang Xu China 48 7.5k 2.1× 4.2k 2.1× 1.7k 1.2× 889 0.8× 627 0.6× 266 12.3k
Xiaoqin Zhang China 48 2.8k 0.8× 2.3k 1.2× 729 0.5× 1.0k 0.9× 417 0.4× 339 8.2k
Jun Zhou China 53 4.6k 1.3× 2.7k 1.3× 4.3k 3.0× 755 0.6× 854 0.8× 599 13.1k
Tsung-Yi Lin United States 22 5.1k 1.5× 3.0k 1.5× 866 0.6× 539 0.5× 1.2k 1.1× 40 10.1k
Vinod Nair India 14 3.9k 1.1× 3.2k 1.6× 848 0.6× 754 0.6× 397 0.4× 23 9.8k
Jianfei Cai Singapore 49 7.0k 2.0× 3.4k 1.7× 752 0.5× 1.3k 1.1× 510 0.5× 309 13.3k

Countries citing papers authored by Jing Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Jing Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Zhang. A scholar is included among the top collaborators of Jing Zhang 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 Zhang. Jing Zhang 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.
Zheng, Heliang, Chaoyue Wang, Yong Luo, et al.. (2025). PartSeg: Few-shot part segmentation via part-aware prompt learning. Pattern Recognition. 162. 111326–111326.
2.
Zhang, Jing, et al.. (2024). Spiking-LSTM: A novel hyperspectral image segmentation network for Sclerotinia detection. Computers and Electronics in Agriculture. 226. 109397–109397. 3 indexed citations
3.
Xu, Jian, Wei Zhang, Hengyun Li, Zheng Xiang, & Jing Zhang. (2024). User-generated photos in hotel demand forecasting. Annals of Tourism Research. 108. 103820–103820. 4 indexed citations
4.
5.
Xu, Chen, Jingyan Zhang, Wan Ji, et al.. (2024). Three-dimensional micro strain gauges as flexible, modular tactile sensors for versatile integration with micro- and macroelectronics. Science Advances. 10(34). eadp6094–eadp6094. 35 indexed citations
6.
Wan, Haibin, Bing-qi Wei, Wenli Qian, & Jing Zhang. (2024). Trends and Hotspots in the Health Economics Evaluation of Chronic Fatigue Syndrome. Journal of Multidisciplinary Healthcare. Volume 17. 4877–4892. 1 indexed citations
7.
Bilal, Hazrat, Mohammad S. Obaidat, Muhammad Shamrooz Aslam, et al.. (2024). Online Fault Diagnosis of Industrial Robot Using IoRT and Hybrid Deep Learning Techniques: An Experimental Approach. IEEE Internet of Things Journal. 11(19). 31422–31437. 46 indexed citations
8.
Ding, Lei, Jing Zhang, Haitao Guo, et al.. (2024). Joint Spatio-Temporal Modeling for Semantic Change Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 59 indexed citations breakdown →
9.
Zhang, Jing, et al.. (2023). Hasse sensitivity level: A sensitivity-aware trajectory privacy-enhanced framework with Reinforcement Learning. Future Generation Computer Systems. 142. 301–313. 10 indexed citations
10.
Zhao, Shanshan, et al.. (2023). Deep Corner. International Journal of Computer Vision. 131(11). 2908–2932. 3 indexed citations
11.
Zhang, Jing, et al.. (2023). Rethinking Portrait Matting with Privacy Preserving. International Journal of Computer Vision. 131(8). 2172–2197. 9 indexed citations
12.
Li, Qingyong, et al.. (2023). Class Incremental Learning based on Identically Distributed Parallel One-Class Classifiers. Neurocomputing. 556. 126579–126579. 2 indexed citations
13.
Tan, Weimin, Xiaojing Ma, Jichun Li, et al.. (2023). Bayesian Inference and Dynamic Neural Feedback Promote the Clinical Application of Intelligent Congenital Heart Disease Diagnosis. Engineering. 23. 90–102. 6 indexed citations
14.
Tian, He, et al.. (2023). Multi-party Privacy Set Intersection protocol with an Untrusted Cloud Server. Frontiers in Computing and Intelligent Systems. 2(3). 68–74.
15.
Liu, Lin, Xiaohui Du, Xiangzhou Wang, et al.. (2022). CGUN-2A: Deep Graph Convolutional Network via Contrastive Learning for Large-Scale Zero-Shot Image Classification. Sensors. 22(24). 9980–9980. 2 indexed citations
16.
Wang, Yongxu, Jing Zhang, Xinjie Wang, et al.. (2022). Cellulose Nanofibers Extracted From Natural Wood Improve the Postharvest Appearance Quality of Apples. Frontiers in Nutrition. 9. 881783–881783. 15 indexed citations
17.
Liu, Shifeng, et al.. (2021). Texture and Microstructure Evolution of Ultra-High Purity Cu-0.1Al Alloy under Different Rolling Methods. Crystals. 11(9). 1113–1113. 8 indexed citations
18.
Zhang, Yong & Jing Zhang. (2020). Application of Dual Attention Mechanism in Chinese Image Captioning. 12(1). 14–29. 1 indexed citations
19.
Liu, Shijian, et al.. (2017). SVQR : A Novel Secure Visual Quick Response Code and Its Anti-counterfeiting Solution.. J. Inf. Hiding Multim. Signal Process.. 8. 1132–1140. 2 indexed citations
20.
Xue, Xiangyang, et al.. (2005). Fudan University at TRECVID 2005. TRECVID. 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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