Xiaohui Hu
Impact in
- Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Advanced Text Analysis Techniques 15
- Topic Modeling 14
- Sentiment Analysis and Opinion Mining 14
- Text and Document Classification Technologies 11
- Metaheuristic Optimization Algorithms Research 9
Xiaohui Hu
121 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 1.3k
- Computational Theory and Mathematics 479
- Computer Vision and Pattern Recognition 404
- Process Chemistry and Technology 54
- Computer Networks and Communications 393
Countries citing papers authored by Xiaohui Hu
This map shows the geographic impact of Xiaohui Hu'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 Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Hu more than expected).
Fields of papers citing papers by Xiaohui Hu
This network shows the impact of papers produced by Xiaohui Hu. 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 Hu. The network helps show where Xiaohui Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui Hu, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 19 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 4 | |
| 13 | 2020 | 9 | |
| 14 | 2019 | 3 | |
| 15 | 2018 | 4 | |
| 16 | word combination kernel for text categorization | 2012 | 2 |
| 17 | A Hop-by-Hop Transport Protocol for Satellite Networks | 2010 | 1 |
| 18 | Method for Forecasting the Logistics Demand of Wuhan City Circle Based on BP Neural Network | 2009 | 1 |
| 19 | Anonymous Extension of a Secure Protocol in Hierarchical WSNs | 2008 | 1 |
| 20 | Armament Demonstration Based on Simulation | 2007 | 0 |
About Xiaohui Hu
Xiaohui Hu is a scholar working on Artificial Intelligence, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications, having authored 140 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (15 papers), Topic Modeling (14 papers), Sentiment Analysis and Opinion Mining (14 papers), Service-Oriented Architecture and Web Services (11 papers), Text and Document Classification Technologies (11 papers), Metaheuristic Optimization Algorithms Research (9 papers), Distributed systems and fault tolerance (7 papers) and Distributed and Parallel Computing Systems (7 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computational Theory and Mathematics (479 citations), Computer Vision and Pattern Recognition (404 citations), Process Chemistry and Technology (54 citations) and Computer Networks and Communications (393 citations). Xiaohui Hu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include R.C. Eberhart, Yuhui Shi, Russell C. Eberhart, Yan Hu, Yun Xue, Rong Yang, Changle Chen, Shengyu Dai, Changwen Zheng and Luwei Xiao. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Neurocomputing, The Visual Computer, International Journal of Machine Learning and Cybernetics and IEEE Access.
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.