Ling Ding
Impact in
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- Infrastructure Maintenance and Monitoring
- Asphalt Pavement Performance Evaluation
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- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
Papers in ⓘ
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- Topic Modeling 10
- Advanced Graph Neural Networks 5
- Domain Adaptation and Few-Shot Learning 4
- Natural Language Processing Techniques 3
- Co-authors
- Dean Zhao (2 shared papers)Weikuan Jia (2 shared papers)Xu Yang (1 shared paper)Mohd Rosli Mohd Hasan (1 shared paper)Jinchao Guan (1 shared paper)Vincent C. S. Lee (1 shared paper)Xiaoyun Cheng (1 shared paper)Zhanping You (1 shared paper)
- Journals
- Journal of Intelligent & Fuzzy Systems (3 papers)Expert Systems with Applications (2 papers)Multimedia Tools and Applications (2 papers)Information Sciences (1 paper)Dyes and Pigments (1 paper)
- Partner nations
- ChinaNew ZealandUnited States
In The Last Decade
Ling Ding
36 papers receiving 297 citations
Peers
Comparison fields: 5 of 96
- Civil and Structural Engineering 69
- Artificial Intelligence 71
- Hardware and Architecture 14
- Computer Vision and Pattern Recognition 42
- Media Technology 15
Countries citing papers authored by Ling Ding
This map shows the geographic impact of Ling 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 Ling Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Ding more than expected).
Fields of papers citing papers by Ling Ding
This network shows the impact of papers produced by Ling 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 Ling Ding. The network helps show where Ling Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Ding, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 80 | |
| 2 | 2016 | 61 | |
| 3 | 2021 | 19 | |
| 4 | 2015 | 17 | |
| 5 | 1991 | 14 | |
| 6 | 2020 | 12 | |
| 7 | 2021 | 9 | |
| 8 | 2022 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2018 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2018 | 7 | |
| 14 | 2013 | 7 | |
| 15 | 1986 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2024 | 3 |
About Ling Ding
Ling Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Information Systems and Computer Networks and Communications, having authored 42 papers that have together received 315 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Advanced Graph Neural Networks (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Cloud Computing and Resource Management (4 papers), Remote Sensing and Land Use (4 papers), Image Processing Techniques and Applications (3 papers), Recommender Systems and Techniques (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Civil and Structural Engineering (69 citations), Artificial Intelligence (71 citations), Hardware and Architecture (14 citations), Computer Vision and Pattern Recognition (42 citations) and Media Technology (15 citations). Ling Ding has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Dean Zhao, Weikuan Jia, Xu Yang, Mohd Rosli Mohd Hasan, Jinchao Guan, Vincent C. S. Lee, Xiaoyun Cheng, Zhanping You, Xiaojun Chen and Yang Xiang. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Expert Systems with Applications, Multimedia Tools and Applications, Information Sciences and Dyes and Pigments.
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.