Cong Leng
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Advanced Vision and Imaging
- Multimodal Machine Learning Applications
- Computational Mathematics top 10%
Papers in
-
- Advanced Image and Video Retrieval Techniques 12
- Advanced Neural Network Applications 7
- Video Surveillance and Tracking Methods 7
- Video Analysis and Summarization 3
- Image Retrieval and Classification Techniques 3
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- Granular flow and fluidized beds 4
- Co-authors
- Jiaxiang Wu (7 shared papers)Hanqing Lu (7 shared papers)Jian Cheng (10 shared papers)Hao Li (1 shared paper)Rong Jin (1 shared paper)Shenghuo Zhu (1 shared paper)Jian Cheng (5 shared papers)Hainan Cui (1 shared paper)
- Journals
- Powder Technology (3 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)Pattern Recognition Letters (1 paper)Computer Vision and Image Understanding (1 paper)Particuology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Cong Leng
19 papers receiving 585 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 459
- Computational Mathematics 13
- Artificial Intelligence 192
- Media Technology 30
- Geology 19
Countries citing papers authored by Cong Leng
This map shows the geographic impact of Cong Leng'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 Cong Leng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Leng more than expected).
Fields of papers citing papers by Cong Leng
This network shows the impact of papers produced by Cong Leng. 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 Cong Leng. The network helps show where Cong Leng may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Leng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 165 | |
| 2 | 2014 | 116 | |
| 3 | 2015 | 100 | |
| 4 | 2017 | 88 | |
| 5 | 2014 | 27 | |
| 6 | Hashing for Distributed Data | 2015 | 21 |
| 7 | 2014 | 20 | |
| 8 | 2023 | 9 | |
| 9 | 2014 | 8 | |
| 10 | 2020 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2015 | 5 | |
| 14 | 2019 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2014 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2016 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2025 | 0 |
About Cong Leng
Cong Leng is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Mechanical Engineering and Civil and Structural Engineering, having authored 20 papers that have together received 593 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (12 papers), Advanced Neural Network Applications (7 papers), Video Surveillance and Tracking Methods (7 papers), Granular flow and fluidized beds (4 papers), Video Analysis and Summarization (3 papers), Image Retrieval and Classification Techniques (3 papers), Iron and Steelmaking Processes (2 papers) and Geotechnical Engineering and Soil Mechanics (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (459 citations), Computational Mathematics (13 citations), Artificial Intelligence (192 citations), Media Technology (30 citations) and Geology (19 citations). Cong Leng has collaborated with scholars based in China and United States. Frequent co-authors include Jiaxiang Wu, Hanqing Lu, Jian Cheng, Hao Li, Rong Jin, Shenghuo Zhu, Jian Cheng, Hainan Cui, Xiao Bai and Qinghao Hu. Their work appears in journals such as Powder Technology, IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition Letters, Computer Vision and Image Understanding and Particuology.
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.