Ling Jing

1.1k total citations · 1 hit paper
90 papers, 771 citations indexed

About

Ling Jing is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Ling Jing has authored 90 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 20 papers in Media Technology. Recurrent topics in Ling Jing's work include Face and Expression Recognition (34 papers), Remote-Sensing Image Classification (19 papers) and Machine Learning and ELM (10 papers). Ling Jing is often cited by papers focused on Face and Expression Recognition (34 papers), Remote-Sensing Image Classification (19 papers) and Machine Learning and ELM (10 papers). Ling Jing collaborates with scholars based in China, United States and Malaysia. Ling Jing's co-authors include Nai-Yang Deng, Yuan‐Hai Shao, Zhimin Yang, Chunhua Zhang, Jinxin Zhang, Zhen Ling, Li Sun, Yong Wang, Wenwen Qiang and Yingyi Chen and has published in prestigious journals such as Scientific Reports, Green Chemistry and IEEE Access.

In The Last Decade

Ling Jing

82 papers receiving 739 citations

Hit Papers

HCMPE-Net: An unsupervised network for underwater image r... 2025 2026 2025 10 20 30 40
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. HCMPE-Net: An unsupervised network for underwater image restoration with multi-parameter estimation based on homology constraint
    2025 42 citations Ling Jing 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
Ling Jing China 15 228 220 113 94 91 90 771
Huiyan Wang China 20 217 1.0× 119 0.5× 212 1.9× 92 1.0× 44 0.5× 91 1.0k
Xinhong Zhang China 19 162 0.7× 137 0.6× 270 2.4× 36 0.4× 45 0.5× 94 1.0k
Yanwei Wang China 18 199 0.9× 108 0.5× 114 1.0× 97 1.0× 78 0.9× 70 957
Shu Zhang China 18 594 2.6× 309 1.4× 64 0.6× 108 1.1× 168 1.8× 115 1.5k
Helong Yu China 16 106 0.5× 370 1.7× 27 0.2× 50 0.5× 32 0.4× 39 755
Tengfei Zhang China 14 640 2.8× 162 0.7× 140 1.2× 54 0.6× 308 3.4× 43 1.5k
Xinyu Jin China 20 445 2.0× 430 2.0× 107 0.9× 174 1.9× 69 0.8× 97 1.3k
Zheng He China 16 253 1.1× 140 0.6× 51 0.5× 55 0.6× 70 0.8× 75 794

Countries citing papers authored by Ling Jing

Since Specialization
Citations

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

Fields of papers citing papers by Ling Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Jing. A scholar is included among the top collaborators of Ling Jing 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 Ling Jing. Ling Jing 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.
Jing, Ling, et al.. (2025). TCH: A novel multi-view dimensionality reduction method based on triple contrastive heads. Neural Networks. 188. 107459–107459. 1 indexed citations
2.
Jing, Ling, et al.. (2025). Multi-view feature embedding via shared and specific structural contrastive learning. Knowledge-Based Systems. 316. 113395–113395. 1 indexed citations
3.
Ren, Yajun, et al.. (2025). Effects of kuntai capsule in combination with hormone replacement therapy on premature ovarian failure and bone metabolism. African Journal of Reproductive Health. 29(5). 97–107.
4.
Shao, Ji, et al.. (2024). Cycle association prototype network for few-shot semantic segmentation. Engineering Applications of Artificial Intelligence. 138. 109309–109309. 1 indexed citations
5.
Gong, Bo, Ling Jing, & Yingyi Chen. (2024). TSD: Random feature query design for transformer-based shrimp detector. Computers and Electronics in Agriculture. 221. 108949–108949. 3 indexed citations
6.
Yang, Jingwen, et al.. (2024). Unsupervised discriminative projection based on contrastive learning. Knowledge-Based Systems. 301. 112296–112296. 1 indexed citations
7.
Gong, Bo, et al.. (2024). CLIP-FSSC: A transferable visual model for fish and shrimp species classification based on natural language supervision. Aquacultural Engineering. 107. 102460–102460. 6 indexed citations
8.
Wang, Qingtian, et al.. (2024). Energy-Efficient Resource Allocation in LEO-assisted Open RAN architecture towards 6G. 1–6. 1 indexed citations
9.
Zhang, Mingxian, Ran Zhao, Cong Wang, Ling Jing, & Daoliang Li. (2024). Real-Time Imputation Model for Missing Sensor Data Based on Alternating Attention Mechanism. IEEE Sensors Journal. 25(5). 8962–8974. 1 indexed citations
10.
11.
Shao, Ji, et al.. (2023). Query-support semantic correlation mining for few-shot segmentation. Engineering Applications of Artificial Intelligence. 126. 106797–106797. 10 indexed citations
12.
Yang, Jianjing, Kelu Yan, Ting Zeng, et al.. (2023). Electrooxidation-induced synthesis of 3-thio/selenophosphorylated imidazole: a potent pesticide with good biocompatibility. Green Chemistry. 26(2). 832–838. 9 indexed citations
13.
Jing, Ling, et al.. (2023). Multifunctional Iron‐Doped Hollow Mesoporous Silica Nanoregulator for Enhanced Tumor Chemodynamic Therapy. Particle & Particle Systems Characterization. 40(9). 3 indexed citations
14.
Yin, Yanling, et al.. (2022). Competition of Photo-Excitation and Photo-Desorption Induced Positive and Negative Photoconductivity Switch in Te Nanowires. Nanomaterials. 12(21). 3747–3747. 5 indexed citations
15.
Qiang, Wenwen, et al.. (2021). A novel interval-valued fuzzy multiple twin support vector machine. Iranian journal of fuzzy systems. 18(2). 93–107. 1 indexed citations
16.
Fowler, James E., et al.. (2018). Spatial Functional Data Analysis for the Spatial–Spectral Classification of Hyperspectral Imagery. IEEE Geoscience and Remote Sensing Letters. 16(6). 942–946. 10 indexed citations
17.
Li, Qian, Bing Yang, Yi Li, Nai-Yang Deng, & Ling Jing. (2012). Constructing support vector machine ensemble with segmentation for imbalanced datasets. Neural Computing and Applications. 22(S1). 249–256. 22 indexed citations
18.
Ling, Qi, Xiuyun Zhang, Hui Xu, & Ling Jing. (2009). Effects of fluoride on the expression of c-fos in mouse fibroblast and osteoblast. Chin J Endemiol. 28(2). 130–133. 1 indexed citations
19.
Xu, Hui, et al.. (2009). Study on endoplasmic reticulum stress in bone tissue of fluorosis rats. Chin J Endemiol. 28(1). 36–40. 3 indexed citations
20.
Xu, Hui, Yulai Zhou, Jingmin Zhang, et al.. (2007). Effects of fluoride on the intracellular free Ca2+ and Ca2+-ATPase of kidney. Biological Trace Element Research. 116(3). 279–287. 23 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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