Hao Lü
Impact in
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- Online Learning and Analytics
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
Papers in
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- Topic Modeling 5
- Advanced Text Analysis Techniques 4
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- Thermochemical Biomass Conversion Processes 9
- Co-authors
- Peter J. Tonge (2 shared papers)Zhendong Niu (18 shared papers)Yifan Zhu (19 shared papers)Kaize Shi (14 shared papers)Qika Lin (6 shared papers)Ming Lei (1 shared paper)Yisheng Lv (5 shared papers)Zeshan Ali (2 shared papers)
- Journals
- IEEE Transactions on Computational Social Systems (6 papers)IEEE Transactions on Intelligent Transportation Systems (4 papers)Fuel (3 papers)Knowledge-Based Systems (2 papers)IEEE Access (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Hao Lü
64 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 161
- Computer Science Applications 70
- Artificial Intelligence 260
- Information Systems 175
- Computational Theory and Mathematics 124
- Electrochemistry 42
Countries citing papers authored by Hao Lü
This map shows the geographic impact of Hao 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 Hao Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Lü more than expected).
Fields of papers citing papers by Hao Lü
This network shows the impact of papers produced by Hao 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 Hao Lü. The network helps show where Hao Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 351 | |
| 2 | 2021 | 90 | |
| 3 | 2020 | 66 | |
| 4 | 2023 | 65 | |
| 5 | 2020 | 61 | |
| 6 | 2019 | 49 | |
| 7 | 2021 | 48 | |
| 8 | 2022 | 46 | |
| 9 | 2021 | 43 | |
| 10 | 2020 | 37 | |
| 11 | 2018 | 34 | |
| 12 | 2012 | 30 | |
| 13 | 2021 | 28 | |
| 14 | 2021 | 25 | |
| 15 | 2019 | 24 | |
| 16 | 2018 | 24 | |
| 17 | 2020 | 23 | |
| 18 | 2018 | 23 | |
| 19 | 2022 | 22 | |
| 20 | 2022 | 21 |
About Hao Lü
Hao Lü is a scholar working on Artificial Intelligence, Biomedical Engineering, Information Systems, Materials Chemistry and Control and Systems Engineering, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (9 papers), Complex Network Analysis Techniques (6 papers), Public Relations and Crisis Communication (5 papers), Topic Modeling (5 papers), Coal and Its By-products (5 papers), Online Learning and Analytics (4 papers), Advanced Text Analysis Techniques (4 papers) and Traffic Prediction and Management Techniques (4 papers). The work is most often cited by research in Computer Science Applications (70 citations), Artificial Intelligence (260 citations), Information Systems (175 citations), Computational Theory and Mathematics (124 citations) and Electrochemistry (42 citations). Hao Lü has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Peter J. Tonge, Zhendong Niu, Yifan Zhu, Kaize Shi, Qika Lin, Ming Lei, Yisheng Lv, Zeshan Ali, Peng Wang and Lin Shi. Their work appears in journals such as IEEE Transactions on Computational Social Systems, IEEE Transactions on Intelligent Transportation Systems, Fuel, Knowledge-Based Systems 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.