Tingsong Jiang
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Hardware and Architecture top 10%
- Signal Processing top 10%
- Topics
- Adversarial Robustness in Machine Learning (22 papers)Anomaly Detection Techniques and Applications (7 papers)Advanced Neural Network Applications (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited States
In The Last Decade
Tingsong Jiang
27 papers receiving 411 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 361
- Computer Vision and Pattern Recognition 105
- Molecular Biology 50
- Hardware and Architecture 50
- Signal Processing 45
Countries citing papers authored by Tingsong Jiang
This map shows the geographic impact of Tingsong Jiang'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 Tingsong Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingsong Jiang more than expected).
Fields of papers citing papers by Tingsong Jiang
This network shows the impact of papers produced by Tingsong Jiang. 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 Tingsong Jiang. The network helps show where Tingsong Jiang may publish in the future.
Co-authorship network of co-authors of Tingsong Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Tingsong Jiang. A scholar is included among the top collaborators of Tingsong Jiang 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 Tingsong Jiang. Tingsong Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 12 | |
| 13 | 14 | |
| 14 | 13 | |
| 15 | 16 | |
| 16 | 1 | |
| 17 | Revisiting Distant Supervision for Relation Extraction | 4 |
| 18 | 65 | |
| 19 | Towards Time-Aware Knowledge Graph Completion | 47 |
| 20 | 15 |
About Tingsong Jiang
Tingsong Jiang is a scholar working on Artificial Intelligence, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 421 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (22 papers), Anomaly Detection Techniques and Applications (7 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Artificial Intelligence (361 citations), Hardware and Architecture (50 citations) and Instrumentation (20 citations). Tingsong Jiang has collaborated with scholars based in China and United States. Frequent co-authors include Wen Yao, Zhifang Sui, Baobao Chang, Handing Wang, Donghua Wang, Xiaoqian Chen, Lei Sha, Sujian Li, Tao Ge and Jun Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.
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.