Haifeng Ling
Impact in
- Polymers and Plastics top 1%
- Conducting polymers and applications
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Advanced Memory and Neural Computing 72
- Organic Electronics and Photovoltaics 32
- Perovskite Materials and Applications 14
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- Photoreceptor and optogenetics research 26
- Neuroscience and Neural Engineering 18
- Co-authors
- Linghai Xie (66 shared papers)Wei Huang (58 shared papers)Mingdong Yi (43 shared papers)Feng Yan (9 shared papers)Wen Li (14 shared papers)Paschalis Gkoupidenis (5 shared papers)Shenghua Liu (1 shared paper)Zijian Zheng (1 shared paper)
In The Last Decade
Haifeng Ling
104 papers receiving 3.5k citations
Haifeng Ling's Hit Papers
Peers
Comparison fields: 5 of 100
- Polymers and Plastics 1.1k
- Cellular and Molecular Neuroscience 952
- Electrical and Electronic Engineering 3.0k
- Bioengineering 132
- Materials Chemistry 735
Countries citing papers authored by Haifeng Ling
This map shows the geographic impact of Haifeng Ling'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 Haifeng Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haifeng Ling more than expected).
Fields of papers citing papers by Haifeng Ling
This network shows the impact of papers produced by Haifeng Ling. 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 Haifeng Ling. The network helps show where Haifeng Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Haifeng Ling, 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 249 | |
| 2 | 2020 | 241 | |
| 3 | 2018 | 225 | |
| 4 | 2021 | 151 | |
| 5 | 2017 | 150 | |
| 6 | 2020 | 148 | |
| 7 | A Reconfigurable Optoelectronic Synaptic Transistor with Stable Zr‐CsPbI3 Nanocrystals for Visuomorphic Computing Hit paper breakdown → | 2023 | 129 |
| 8 | Tetrachromatic vision-inspired neuromorphic sensors with ultraweak ultraviolet detection Hit paper breakdown → | 2023 | 125 |
| 9 | 2023 | 119 | |
| 10 | 2018 | 103 | |
| 11 | 2017 | 101 | |
| 12 | 2020 | 96 | |
| 13 | 2017 | 85 | |
| 14 | 2016 | 81 | |
| 15 | 2019 | 76 | |
| 16 | 2015 | 75 | |
| 17 | 2021 | 64 | |
| 18 | 2021 | 62 | |
| 19 | 2018 | 60 | |
| 20 | 2017 | 50 |
About Haifeng Ling
Haifeng Ling is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Polymers and Plastics, Materials Chemistry and Artificial Intelligence, having authored 110 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (72 papers), Organic Electronics and Photovoltaics (32 papers), Photoreceptor and optogenetics research (26 papers), Conducting polymers and applications (24 papers), Neuroscience and Neural Engineering (18 papers), Perovskite Materials and Applications (14 papers), Neural Networks and Reservoir Computing (10 papers) and Luminescence and Fluorescent Materials (10 papers). The work is most often cited by research in Polymers and Plastics (1.1k citations), Cellular and Molecular Neuroscience (952 citations), Electrical and Electronic Engineering (3.0k citations), Bioengineering (132 citations) and Materials Chemistry (735 citations). Haifeng Ling has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Linghai Xie, Wei Huang, Mingdong Yi, Feng Yan, Wen Li, Paschalis Gkoupidenis, Shenghua Liu, Zijian Zheng, Yoeri van de Burgt and Laiyuan Wang. Their work appears in journals such as Advanced Materials, Advanced Electronic Materials, Journal of Materials Chemistry C, Organic Electronics and Advanced Functional Materials.
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.