Xiaomeng Han
Impact in
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- Risk and Safety Analysis
- Probabilistic and Robust Engineering Design
- Software top 10%
- Software Reliability and Analysis Research
Papers in
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- Machine Learning and ELM 2
- Neural Networks and Applications 2
- Surgery 3
- Pancreatitis Pathology and Treatment 1
- Co-authors
- Yan‐Feng Li (1 shared paper)Jinhua Mi (1 shared paper)Hong‐Zhong Huang (1 shared paper)Weiwen Peng (1 shared paper)Qun Dai (3 shared papers)Guo Lin (1 shared paper)Gang Song (1 shared paper)Biaohua Chen (1 shared paper)
- Journals
- Applied Intelligence (3 papers)Tehnicki vjesnik - Technical Gazette (3 papers)Journal of Water Process Engineering (2 papers)Educational Studies (1 paper)Cancer Imaging (1 paper)
- Partner nations
- ChinaVietnamBangladesh
In The Last Decade
Xiaomeng Han
17 papers receiving 330 citations
Peers
Comparison fields: 5 of 116
- Statistics, Probability and Uncertainty 82
- Software 35
- Safety, Risk, Reliability and Quality 59
- Management Science and Operations Research 29
- Artificial Intelligence 56
Countries citing papers authored by Xiaomeng Han
This map shows the geographic impact of Xiaomeng Han'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 Xiaomeng Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomeng Han more than expected).
Fields of papers citing papers by Xiaomeng Han
This network shows the impact of papers produced by Xiaomeng Han. 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 Xiaomeng Han. The network helps show where Xiaomeng Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaomeng Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 172 | |
| 2 | 2024 | 26 | |
| 3 | 2020 | 20 | |
| 4 | 2017 | 18 | |
| 5 | 2022 | 16 | |
| 6 | 2019 | 16 | |
| 7 | 2022 | 15 | |
| 8 | 2015 | 14 | |
| 9 | 2018 | 10 | |
| 10 | 2015 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2018 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2010 | 1 | |
| 20 | 2021 | 0 |
About Xiaomeng Han
Xiaomeng Han is a scholar working on Artificial Intelligence, Surgery, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Molecular Biology, having authored 24 papers that have together received 343 indexed citations. Recurring topics across this work include Color Science and Applications (3 papers), Face and Expression Recognition (2 papers), Machine Learning and ELM (2 papers), Phosphorus and nutrient management (2 papers), Neural Networks and Applications (2 papers), Plant Molecular Biology Research (1 paper), Reliability and Maintenance Optimization (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (82 citations), Software (35 citations), Safety, Risk, Reliability and Quality (59 citations), Management Science and Operations Research (29 citations) and Artificial Intelligence (56 citations). Xiaomeng Han has collaborated with scholars based in China, Vietnam and Bangladesh. Frequent co-authors include Yan‐Feng Li, Jinhua Mi, Hong‐Zhong Huang, Weiwen Peng, Qun Dai, Guo Lin, Gang Song, Biaohua Chen, Yingying Ding and Yingxia Li. Their work appears in journals such as Applied Intelligence, Tehnicki vjesnik - Technical Gazette, Journal of Water Process Engineering, Educational Studies and Cancer Imaging.
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.