Haibing Wu
Impact in
- Media Technology top 5%
- RFID technology advancements
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Topic Modeling
Papers in
-
- RFID technology advancements 2
-
- Robotics and Sensor-Based Localization 3
- Co-authors
- Xiaodong GuZeyu GongBo TaoZhouping YinHan DingHarpreet Singh AroraSundeep MukherjeeAditya Ayyagari
- Journals
- IEEE Transactions on Automation Science and Engineering (3 papers)Macromolecules (1 paper)Automation in Construction (1 paper)Neural Networks (1 paper)Science China Chemistry (1 paper)
- Partner nations
- ChinaIndiaUnited Kingdom
In The Last Decade
Haibing Wu
18 papers receiving 601 citations
Peers
Comparison fields: 5 of 98
- Media Technology 84
- Artificial Intelligence 238
- Computer Vision and Pattern Recognition 125
- Aerospace Engineering 105
- Ocean Engineering 53
Countries citing papers authored by Haibing Wu
This map shows the geographic impact of Haibing Wu'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 Haibing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haibing Wu more than expected).
Fields of papers citing papers by Haibing Wu
This network shows the impact of papers produced by Haibing Wu. 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 Haibing Wu. The network helps show where Haibing Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haibing Wu, 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 | 2023 | 2 | |
| 3 | 2021 | 25 | |
| 4 | 2021 | 7 | |
| 5 | 2021 | 27 | |
| 6 | 2020 | 75 | |
| 7 | 2020 | 22 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 1 | |
| 10 | 2019 | 3 | |
| 11 | 2019 | 75 | |
| 12 | 2018 | 9 | |
| 13 | 2017 | 26 | |
| 14 | 2017 | 37 | |
| 15 | 2016 | 41 | |
| 16 | 2016 | 37 | |
| 17 | 2016 | 1 | |
| 18 | 2015 | 223 | |
| 19 | Reducing Over-Weighting in Supervised Term Weighting for Sentiment Analysis | 2014 | 13 |
About Haibing Wu
Haibing Wu is a scholar working on Media Technology, Aerospace Engineering, Industrial and Manufacturing Engineering, Ocean Engineering and Ceramics and Composites, having authored 19 papers that have together received 625 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (4 papers), Advanced Text Analysis Techniques (4 papers), Indoor and Outdoor Localization Technologies (3 papers), Robotics and Sensor-Based Localization (3 papers), Topic Modeling (2 papers), RFID technology advancements (2 papers), Robotic Path Planning Algorithms (2 papers) and Advanced Polymer Synthesis and Characterization (2 papers). The work is most often cited by research in Media Technology (84 citations), Artificial Intelligence (238 citations), Computer Vision and Pattern Recognition (125 citations), Aerospace Engineering (105 citations) and Ocean Engineering (53 citations). Haibing Wu has collaborated with scholars based in China, India and United Kingdom. Frequent co-authors include Xiaodong Gu, Zeyu Gong, Bo Tao, Zhouping Yin, Han Ding, Han Ding, Harpreet Singh Arora, Sundeep Mukherjee, Aditya Ayyagari and Chong Wu. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, Macromolecules, Automation in Construction, Neural Networks and Science China Chemistry.
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.