Zheming Gao
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Management Science and Operations Research top 10%
- Control and Systems Engineering
- Topics
- Face and Expression Recognition (5 papers)Machine Learning and ELM (4 papers)Image and Signal Denoising Methods (2 papers)
- Cited by
- Management Science and Operations ResearchComputer Vision and Pattern RecognitionManagement Information Systems
- Journals
- European Journal of Operational ResearchExpert Systems with ApplicationsPattern Recognition
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Zheming Gao
17 papers receiving 298 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 93
- Computer Vision and Pattern Recognition 82
- Electrical and Electronic Engineering 71
- Management Science and Operations Research 56
- Control and Systems Engineering 50
Countries citing papers authored by Zheming Gao
This map shows the geographic impact of Zheming Gao'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 Zheming Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zheming Gao more than expected).
Fields of papers citing papers by Zheming Gao
This network shows the impact of papers produced by Zheming Gao. 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 Zheming Gao. The network helps show where Zheming Gao may publish in the future.
Co-authorship network of co-authors of Zheming Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Zheming Gao. A scholar is included among the top collaborators of Zheming Gao 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 Zheming Gao. Zheming Gao 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 | 8 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 18 | |
| 13 | 46 | |
| 14 | 33 | |
| 15 | 1 | |
| 16 | 71 | |
| 17 | 33 | |
| 18 | 35 | |
| 19 | 5 |
About Zheming Gao
Zheming Gao is a scholar working on Computer Vision and Pattern Recognition, Management Information Systems and Management Science and Operations Research, having authored 19 papers that have together received 307 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Machine Learning and ELM (4 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Management Science and Operations Research (56 citations), Computer Vision and Pattern Recognition (82 citations) and Management Information Systems (33 citations). Zheming Gao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shu‐Cherng Fang, Jian Luo, Xiaolei Fang, Min Huang, Tao Hong, Mingqiang Yin, Xingwei Wang, Yiwen Wang, Hossein Moosaei and Milan Hladík. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and Pattern Recognition.
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.