Haibing Wang
Impact in
- Polymers and Plastics top 2%
- Conducting polymers and applications
-
- Perovskite Materials and Applications
- Chalcogenide Semiconductor Thin Films
Papers in
-
- Perovskite Materials and Applications 22
- Advanced Memory and Neural Computing 11
- Chalcogenide Semiconductor Thin Films 11
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- Aeolian processes and effects 18
- Co-authors
- Guojia Fang (20 shared papers)Feihong Ye (15 shared papers)Chen Tao (12 shared papers)Weijun Ke (11 shared papers)Xiaopeng Jia (16 shared papers)Jiwei Liang (8 shared papers)Ti Wang (4 shared papers)Chen Wang (7 shared papers)
- Journals
- Environmental Earth Sciences (7 papers)CATENA (6 papers)Advanced Materials (4 papers)American Museum Novitates (3 papers)Journal of Power Sources (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Haibing Wang
108 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 107
- Polymers and Plastics 637
- Electrical and Electronic Engineering 1.5k
- Earth-Surface Processes 145
- Paleontology 150
- Materials Chemistry 817
Countries citing papers authored by Haibing Wang
This map shows the geographic impact of Haibing Wang'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 Haibing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haibing Wang more than expected).
Fields of papers citing papers by Haibing Wang
This network shows the impact of papers produced by Haibing Wang. 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 Haibing Wang. The network helps show where Haibing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haibing Wang, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 187 | |
| 2 | 2022 | 158 | |
| 3 | 2021 | 117 | |
| 4 | 2019 | 109 | |
| 5 | 2022 | 101 | |
| 6 | 2022 | 99 | |
| 7 | 2023 | 85 | |
| 8 | 2019 | 61 | |
| 9 | 2020 | 60 | |
| 10 | 2020 | 59 | |
| 11 | 2015 | 50 | |
| 12 | 2024 | 49 | |
| 13 | 2019 | 45 | |
| 14 | 2023 | 44 | |
| 15 | 2021 | 43 | |
| 16 | 2021 | 37 | |
| 17 | 2013 | 34 | |
| 18 | 2020 | 33 | |
| 19 | 2022 | 28 | |
| 20 | 2019 | 27 |
About Haibing Wang
Haibing Wang is a scholar working on Electrical and Electronic Engineering, Earth-Surface Processes, Materials Chemistry, Paleontology and Atmospheric Science, having authored 113 papers that have together received 2.2k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (22 papers), Aeolian processes and effects (18 papers), Quantum Dots Synthesis And Properties (15 papers), Evolution and Paleontology Studies (15 papers), Soil erosion and sediment transport (13 papers), Advanced Memory and Neural Computing (11 papers), Chalcogenide Semiconductor Thin Films (11 papers) and Paleontology and Evolutionary Biology (10 papers). The work is most often cited by research in Polymers and Plastics (637 citations), Electrical and Electronic Engineering (1.5k citations), Earth-Surface Processes (145 citations), Paleontology (150 citations) and Materials Chemistry (817 citations). Haibing Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Guojia Fang, Feihong Ye, Chen Tao, Weijun Ke, Xiaopeng Jia, Jiwei Liang, Ti Wang, Chen Wang, Junjie Ma and Cong Chen. Their work appears in journals such as Environmental Earth Sciences, CATENA, Advanced Materials, American Museum Novitates and Journal of Power Sources.
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.