Huimin Zeng
- Artificial Intelligence top 10%
- Topic Modeling 10
- Adversarial Robustness in Machine Learning 8
- Anomaly Detection Techniques and Applications 6
- Information Systems top 10%
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- Face recognition and analysis 4
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- Misinformation and Its Impacts 9
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- HVDC Systems and Fault Protection 5
- High-Voltage Power Transmission Systems 5
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- Power Systems Fault Detection 5
- Partner nations
- United StatesChinaGermany
In The Last Decade
Huimin Zeng
31 papers receiving 277 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 192
- Information Systems 95
- Computer Vision and Pattern Recognition 72
- Health Informatics 3
- Signal Processing 23
Countries citing papers authored by Huimin Zeng
This map shows the geographic impact of Huimin Zeng'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 Huimin Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huimin Zeng more than expected).
Fields of papers citing papers by Huimin Zeng
This network shows the impact of papers produced by Huimin Zeng. 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 Huimin Zeng. The network helps show where Huimin Zeng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Huimin Zeng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 16 | |
| 17 | 2019 | 23 | |
| 18 | Analysis on value of Community Herbal Monograph in registration of traditional Chinese medicinal products in Europe | 2017 | 0 |
| 19 | A novel wide area backup protection for multi-terminal transmission lines system | 2012 | 0 |
| 20 | Fault location algorithm for HV transmission line based on phase characteristics of hyperbolic sine function | 2010 | 1 |
About Huimin Zeng
Huimin Zeng is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 280 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Misinformation and Its Impacts (9 papers), Adversarial Robustness in Machine Learning (8 papers), Anomaly Detection Techniques and Applications (6 papers), HVDC Systems and Fault Protection (5 papers), High-Voltage Power Transmission Systems (5 papers), Power Systems Fault Detection (5 papers) and Face recognition and analysis (4 papers). The work is most often cited by research in Artificial Intelligence (192 citations), Information Systems (95 citations) and Computer Vision and Pattern Recognition (72 citations). Huimin Zeng has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Zhenrui Yue, Dong Wang, Lanyu Shang, Zhankui He, Julian McAuley, Hegui Zhu, Jinhai Liu, Xiangde Zhang, Ziyi Kou and Yang Zhang. Their work appears in journals such as Neurocomputing, Neural Networks and Knowledge-Based Systems.
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.