Qing He
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
Papers in
-
- Speech Recognition and Synthesis 9
- Sentiment Analysis and Opinion Mining 5
- Advanced Clustering Algorithms Research 3
- Topic Modeling 3
- Neural Networks and Applications 2
- Natural Language Processing Techniques 2
- Co-authors
- Xiang Ao (6 shared papers)Jiwei Li (4 shared papers)Xiaofei Sun (3 shared papers)Yuxian Meng (3 shared papers)Fei Qing Wu (2 shared papers)Xiaoya Li (1 shared paper)Zijun Sun (1 shared paper)Dan Guo (2 shared papers)
- Journals
- Expert Systems with Applications (1 paper)Thin-Walled Structures (1 paper)IEEE Access (1 paper)Sustainability (1 paper)Applied Sciences (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qing He
43 papers receiving 367 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 244
- Signal Processing 19
- Health Informatics 3
- Computer Vision and Pattern Recognition 29
- Information Systems 31
Countries citing papers authored by Qing He
This map shows the geographic impact of Qing He'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 Qing He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing He more than expected).
Fields of papers citing papers by Qing He
This network shows the impact of papers produced by Qing He. 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 Qing He. The network helps show where Qing He may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing He, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 130 | |
| 2 | 2017 | 24 | |
| 3 | 2021 | 23 | |
| 4 | 2016 | 15 | |
| 5 | 2020 | 14 | |
| 6 | 2023 | 13 | |
| 7 | 2014 | 12 | |
| 8 | 2017 | 12 | |
| 9 | 2021 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2004 | 5 | |
| 20 | 2020 | 5 |
About Qing He
Qing He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistics, Probability and Uncertainty, Information Systems and Signal Processing, having authored 48 papers that have together received 376 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (9 papers), Sentiment Analysis and Opinion Mining (5 papers), Advanced Clustering Algorithms Research (3 papers), Topic Modeling (3 papers), Advanced Statistical Process Monitoring (3 papers), Neural Networks and Applications (2 papers), Human-Automation Interaction and Safety (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (244 citations), Signal Processing (19 citations), Health Informatics (3 citations), Computer Vision and Pattern Recognition (29 citations) and Information Systems (31 citations). Qing He has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiang Ao, Jiwei Li, Xiaofei Sun, Yuxian Meng, Fei Qing Wu, Xiaoya Li, Zijun Sun, Dan Guo, Huijun Ding and Yongjin Zhou. Their work appears in journals such as Expert Systems with Applications, Thin-Walled Structures, IEEE Access, Sustainability and Applied Sciences.
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.