Yonghe Lu
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Clustering Algorithms Research
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- Intellectual Property and Patents
Papers in
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- Topic Modeling 8
- Natural Language Processing Techniques 5
- Sentiment Analysis and Opinion Mining 4
- Advanced Text Analysis Techniques 4
- Cognitive Computing and Networks 2
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- Service-Oriented Architecture and Web Services 2
- Co-authors
- Huiyou Chang (2 shared papers)Tingting Wei (1 shared paper)Qiang Zhou (1 shared paper)Jiaxin Liu (2 shared papers)Xin Xiong (2 shared papers)Weiting Zhang (1 shared paper)Bing Sun (1 shared paper)Ruijie Zhao (1 shared paper)
In The Last Decade
Yonghe Lu
23 papers receiving 276 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 177
- Management of Technology and Innovation 27
- Information Systems 79
- General Agricultural and Biological Sciences 12
- Management Science and Operations Research 17
Countries citing papers authored by Yonghe Lu
This map shows the geographic impact of Yonghe Lu'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 Yonghe Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonghe Lu more than expected).
Fields of papers citing papers by Yonghe Lu
This network shows the impact of papers produced by Yonghe Lu. 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 Yonghe Lu. The network helps show where Yonghe Lu may publish in the future.
Co-authors
The 23 scholars most cited alongside Yonghe Lu, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 165 | |
| 2 | 2019 | 27 | |
| 3 | 2020 | 24 | |
| 4 | 2023 | 13 | |
| 5 | 2020 | 11 | |
| 6 | 2009 | 9 | |
| 7 | 2024 | 6 | |
| 8 | 2017 | 6 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2018 | 3 | |
| 13 | 2019 | 3 | |
| 14 | 2014 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2012 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2014 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2020 | 1 |
About Yonghe Lu
Yonghe Lu is a scholar working on Artificial Intelligence, Information Systems, Management of Technology and Innovation, Materials Chemistry and Molecular Biology, having authored 25 papers that have together received 295 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers), Intellectual Property and Patents (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Advanced Text Analysis Techniques (4 papers), Machine Learning in Materials Science (4 papers), Cognitive Computing and Networks (2 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Artificial Intelligence (177 citations), Management of Technology and Innovation (27 citations), Information Systems (79 citations), General Agricultural and Biological Sciences (12 citations) and Management Science and Operations Research (17 citations). Yonghe Lu has collaborated with scholars based in China and Australia. Frequent co-authors include Huiyou Chang, Tingting Wei, Qiang Zhou, Jiaxin Liu, Xin Xiong, Weiting Zhang, Bing Sun, Ruijie Zhao, Shuangyin Li and Jianhua Chen. Their work appears in journals such as Scientometrics, Expert Systems with Applications, Applied Intelligence, BMC Medical Informatics and Decision Making and Journal of Information Science.
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.