Ling Jing
Impact in
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- Face and Expression Recognition
Papers in
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- Face and Expression Recognition 33
- Advanced Image and Video Retrieval Techniques 5
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- Machine Learning and ELM 10
- Text and Document Classification Technologies 6
- Co-authors
- Nai-Yang Deng (7 shared papers)Yuan‐Hai Shao (1 shared paper)Zhimin Yang (1 shared paper)Chunhua Zhang (1 shared paper)Jinxin Zhang (8 shared papers)Zhen Ling (8 shared papers)Yingyi Chen (11 shared papers)Li Sun (1 shared paper)
- Journals
- Engineering Applications of Artificial Intelligence (7 papers)Knowledge-Based Systems (4 papers)International Journal of Remote Sensing (4 papers)Neural Networks (3 papers)IEEE Geoscience and Remote Sensing Letters (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ling Jing
63 papers receiving 609 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 221
- Computational Mathematics 6
- Media Technology 86
- Artificial Intelligence 209
- Water Science and Technology 83
Countries citing papers authored by Ling Jing
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
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-authors
The 25 scholars most cited alongside Ling Jing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 105 | |
| 2 | 2009 | 61 | |
| 3 | 2005 | 34 | |
| 4 | 2006 | 25 | |
| 5 | 2007 | 24 | |
| 6 | 2012 | 23 | |
| 7 | 2023 | 21 | |
| 8 | 2017 | 20 | |
| 9 | 2017 | 20 | |
| 10 | 2015 | 16 | |
| 11 | 2020 | 16 | |
| 12 | 2019 | 14 | |
| 13 | 2019 | 14 | |
| 14 | 2018 | 13 | |
| 15 | 2018 | 11 | |
| 16 | 2019 | 11 | |
| 17 | 2020 | 11 | |
| 18 | 2019 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2023 | 10 |
About Ling Jing
Ling Jing is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Atmospheric Science and Molecular Biology, having authored 67 papers that have together received 627 indexed citations. Recurring topics across this work include Face and Expression Recognition (33 papers), Remote-Sensing Image Classification (19 papers), Machine Learning and ELM (10 papers), Remote Sensing and Land Use (9 papers), Advanced Algorithms and Applications (8 papers), Text and Document Classification Technologies (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Fluoride Effects and Removal (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (221 citations), Computational Mathematics (6 citations), Media Technology (86 citations), Artificial Intelligence (209 citations) and Water Science and Technology (83 citations). Ling Jing has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Nai-Yang Deng, Yuan‐Hai Shao, Zhimin Yang, Chunhua Zhang, Jinxin Zhang, Zhen Ling, Yingyi Chen, Li Sun, Wenwen Qiang and Yong Wang. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Knowledge-Based Systems, International Journal of Remote Sensing, Neural Networks and IEEE Geoscience and Remote Sensing Letters.
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.