Xiaohui Peng
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Biomedical Engineering top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Co-authors
- Lisha HuYiqiang ChenJindong WangShuji HaoStanislaus S. WongNicholas S. FisherPhilip S. YuChunyu Hu
- Topics
- IoT and Edge/Fog Computing (9 papers)Congenital Heart Disease Studies (9 papers)Context-Aware Activity Recognition Systems (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaCancer ResearchProceedings of the IEEE
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaohui Peng
42 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 597
- Biomedical Engineering 501
- Computer Networks and Communications 411
- Electrical and Electronic Engineering 249
Countries citing papers authored by Xiaohui Peng
This map shows the geographic impact of Xiaohui Peng'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 Xiaohui Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Peng more than expected).
Fields of papers citing papers by Xiaohui Peng
This network shows the impact of papers produced by Xiaohui Peng. 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 Xiaohui Peng. The network helps show where Xiaohui Peng may publish in the future.
Co-authorship network of co-authors of Xiaohui Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohui Peng. A scholar is included among the top collaborators of Xiaohui Peng 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 Xiaohui Peng. Xiaohui Peng 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 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 10 | |
| 12 | Analysis of risk factors in patients with urinary tract infection after cystoscopy. | 0 |
| 13 | 5 | |
| 14 | 0 | |
| 15 | 3 | |
| 16 | 11 | |
| 17 | Effect of Xiaochengqi decoction on gut hormone after colocolic anastomosis | 0 |
| 18 | 214 | |
| 19 | 22 | |
| 20 | 8 |
About Xiaohui Peng
Xiaohui Peng is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Epidemiology, having authored 50 papers that have together received 2.1k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (9 papers), Congenital Heart Disease Studies (9 papers) and Context-Aware Activity Recognition Systems (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Human-Computer Interaction (122 citations) and Artificial Intelligence (597 citations). Xiaohui Peng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lisha Hu, Yiqiang Chen, Jindong Wang, Shuji Hao, Stanislaus S. Wong, Nicholas S. Fisher, Philip S. Yu, Chunyu Hu, Zhiwei Xu and Han Yu. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Proceedings of the IEEE.
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.