Shouhong Ding
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Electrical and Electronic Engineering top 10%
- Automotive Engineering top 5%
- Topics
- Face recognition and analysis (34 papers)Biometric Identification and Security (25 papers)Digital Media Forensic Detection (18 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Shouhong Ding
72 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 635
- Signal Processing 615
- Electrical and Electronic Engineering 472
- Automotive Engineering 210
Countries citing papers authored by Shouhong Ding
This map shows the geographic impact of Shouhong 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 Shouhong Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shouhong Ding more than expected).
Fields of papers citing papers by Shouhong Ding
This network shows the impact of papers produced by Shouhong 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 Shouhong Ding. The network helps show where Shouhong Ding may publish in the future.
Co-authorship network of co-authors of Shouhong Ding
This figure shows the co-authorship network connecting the top 25 collaborators of Shouhong Ding. A scholar is included among the top collaborators of Shouhong Ding 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 Shouhong Ding. Shouhong Ding 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 | 1 | |
| 4 | 2 | |
| 5 | 40 | |
| 6 | Oscillatory solvation chemistry for a 500 Wh kg−1 Li-metal pouch cellbreakdown → | 112 |
| 7 | 7 | |
| 8 | 20 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 41 | |
| 15 | 12 | |
| 16 | 27 | |
| 17 | Deciphering and modulating energetics of solvation structure enables aggressive high-voltage chemistry of Li metal batteriesbreakdown → | 200 |
| 18 | 7 | |
| 19 | 26 | |
| 20 | 8 |
About Shouhong Ding
Shouhong Ding is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 81 papers that have together received 2.5k indexed citations. Recurring topics across this work include Face recognition and analysis (34 papers), Biometric Identification and Security (25 papers) and Digital Media Forensic Detection (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Signal Processing (615 citations) and Artificial Intelligence (635 citations). Shouhong Ding has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Taiping Yao, Jilin Li, Lizhuang Ma, Bo Li, Rongrong Ji, Yang Chen, Chen Shen, Chen Shen, Feiyue Huang and Ruixin Zhang. Their work appears in journals such as Angewandte Chemie International Edition, Energy & Environmental Science and Nature Chemistry.
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.