Han Long
Impact in
- Electrochemistry top 10%
- Electrochemical Analysis and Applications
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- Fuel Cells and Related Materials
- Electrochemical sensors and biosensors
Papers in
-
- Fuel Cells and Related Materials 8
- Optical Network Technologies 7
- Advanced Optical Network Technologies 5
-
- Reinforcement Learning in Robotics 4
- Co-authors
- Shoutao Gong (8 shared papers)Fengxiang Zhang (8 shared papers)Liqiang Luo (2 shared papers)Dongmei Deng (2 shared papers)Li Tang (2 shared papers)Gaohong He (3 shared papers)Xiaoming Yan (5 shared papers)Quan Jin (5 shared papers)
In The Last Decade
Han Long
48 papers receiving 470 citations
Peers
Comparison fields: 5 of 89
- Electrochemistry 39
- Electrical and Electronic Engineering 249
- Renewable Energy, Sustainability and the Environment 59
- Computer Vision and Pattern Recognition 69
- Polymers and Plastics 41
Countries citing papers authored by Han Long
This map shows the geographic impact of Han Long'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 Han Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Long more than expected).
Fields of papers citing papers by Han Long
This network shows the impact of papers produced by Han Long. 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 Han Long. The network helps show where Han Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Han Long, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 59 | |
| 2 | 2020 | 45 | |
| 3 | 2024 | 44 | |
| 4 | 2023 | 32 | |
| 5 | 2023 | 26 | |
| 6 | 2018 | 25 | |
| 7 | 2014 | 24 | |
| 8 | 2016 | 23 | |
| 9 | 2024 | 20 | |
| 10 | 2023 | 14 | |
| 11 | 2022 | 14 | |
| 12 | 2024 | 13 | |
| 13 | 2024 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2024 | 10 | |
| 16 | 2013 | 10 | |
| 17 | 2010 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2022 | 7 |
About Han Long
Han Long is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 490 indexed citations. Recurring topics across this work include Fuel Cells and Related Materials (8 papers), Membrane-based Ion Separation Techniques (7 papers), Optical Network Technologies (7 papers), Robotic Path Planning Algorithms (6 papers), Electrocatalysts for Energy Conversion (6 papers), Advanced Optical Network Technologies (5 papers), Reinforcement Learning in Robotics (4 papers) and UAV Applications and Optimization (4 papers). The work is most often cited by research in Electrochemistry (39 citations), Electrical and Electronic Engineering (249 citations), Renewable Energy, Sustainability and the Environment (59 citations), Computer Vision and Pattern Recognition (69 citations) and Polymers and Plastics (41 citations). Han Long has collaborated with scholars based in China, Australia and Qatar. Frequent co-authors include Shoutao Gong, Fengxiang Zhang, Liqiang Luo, Dongmei Deng, Li Tang, Gaohong He, Xiaoming Yan, Quan Jin, Huan Ke and Wei Sun. Their work appears in journals such as Journal of Membrane Science, Neural Networks, Applied Sciences, Journal of Materials Chemistry A and Scientific Reports.
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.