Chang Lü
Impact in
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- Artificial Intelligence in Healthcare
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Machine Learning in Healthcare 4
- Topic Modeling 3
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- Robotic Path Planning Algorithms 2
- Image and Object Detection Techniques 2
- Advanced Neural Network Applications 2
- Co-authors
- Weihong Wang (1 shared paper)Yaochu Jin (1 shared paper)Ye Tian (1 shared paper)Xingyi Zhang (1 shared paper)Kay Chen Tan (1 shared paper)Chandan K. Reddy (3 shared papers)Yue Ning (3 shared papers)Samantha Kleinberg (1 shared paper)
- Journals
- Complementary Therapies in Clinical Practice (1 paper)Physics of Fluids (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Information Sciences (1 paper)IEEE Transactions on Cybernetics (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chang Lü
18 papers receiving 487 citations
Peers
Comparison fields: 5 of 111
- Health Information Management 54
- Computational Theory and Mathematics 164
- Artificial Intelligence 278
- Health Informatics 6
- Industrial and Manufacturing Engineering 27
Countries citing papers authored by Chang Lü
This map shows the geographic impact of Chang Lü'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 Chang Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Lü more than expected).
Fields of papers citing papers by Chang Lü
This network shows the impact of papers produced by Chang Lü. 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 Chang Lü. The network helps show where Chang Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Chang Lü, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 213 | |
| 2 | 2019 | 121 | |
| 3 | 2021 | 43 | |
| 4 | 2021 | 30 | |
| 5 | 2022 | 27 | |
| 6 | 2023 | 23 | |
| 7 | 2022 | 8 | |
| 8 | 2016 | 5 | |
| 9 | 2025 | 5 | |
| 10 | 2022 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2010 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2023 | 0 | |
| 20 | 2021 | 0 |
About Chang Lü
Chang Lü is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Ocean Engineering, Signal Processing and Computer Networks and Communications, having authored 22 papers that have together received 493 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (4 papers), Topic Modeling (3 papers), Drilling and Well Engineering (2 papers), Robotic Path Planning Algorithms (2 papers), Image and Object Detection Techniques (2 papers), Concrete and Cement Materials Research (2 papers), Advanced Neural Network Applications (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Information Management (54 citations), Computational Theory and Mathematics (164 citations), Artificial Intelligence (278 citations), Health Informatics (6 citations) and Industrial and Manufacturing Engineering (27 citations). Chang Lü has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Weihong Wang, Yaochu Jin, Ye Tian, Xingyi Zhang, Kay Chen Tan, Chandan K. Reddy, Yue Ning, Samantha Kleinberg, Tian Han and Prithwish Chakraborty. Their work appears in journals such as Complementary Therapies in Clinical Practice, Physics of Fluids, IEEE Transactions on Knowledge and Data Engineering, Information Sciences and IEEE Transactions on Cybernetics.
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.