Zhenlan Jin
- Cognitive Neuroscience top 5%
- Neural and Behavioral Psychology Studies 39
- Functional Brain Connectivity Studies 22
- Visual perception and processing mechanisms 18
- Neural dynamics and brain function 13
- EEG and Brain-Computer Interfaces 13
- Spatial Neglect and Hemispheric Dysfunction 8
- Face Recognition and Perception 5
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies 6
- Human-Computer Interaction top 5%
- Psychiatry and Mental health top 10%
- Co-authors
- Ling LiJunjun ZhangYuanzhen LiRuth RosenholtzPing YangAdam ReevesBo TanTingting Zhang
- Journals
- Journal of Vision (6 papers)Frontiers in Human Neuroscience (5 papers)Brain Structure and Function (5 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Zhenlan Jin
61 papers receiving 944 citations
Peers
Comparison fields: 5 of 105
- Cognitive Neuroscience 635
- Neurology 116
- Experimental and Cognitive Psychology 150
- Human-Computer Interaction 63
- Psychiatry and Mental health 119
Countries citing papers authored by Zhenlan Jin
This map shows the geographic impact of Zhenlan Jin'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 Zhenlan Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenlan Jin more than expected).
Fields of papers citing papers by Zhenlan Jin
This network shows the impact of papers produced by Zhenlan Jin. 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 Zhenlan Jin. The network helps show where Zhenlan Jin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhenlan Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 16 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 2 | |
| 9 | 2021 | 10 | |
| 10 | 2021 | 55 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 29 | |
| 13 | 2019 | 20 | |
| 14 | 2019 | 84 | |
| 15 | 2019 | 52 | |
| 16 | 2018 | 17 | |
| 17 | 2017 | 5 | |
| 18 | 2013 | 1 | |
| 19 | 2011 | 18 | |
| 20 | 2009 | 40 |
About Zhenlan Jin
Zhenlan Jin is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Neurology, Human-Computer Interaction and General Decision Sciences, having authored 66 papers that have together received 977 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (39 papers), Functional Brain Connectivity Studies (22 papers), Visual perception and processing mechanisms (18 papers), Neural dynamics and brain function (13 papers), EEG and Brain-Computer Interfaces (13 papers), Spatial Neglect and Hemispheric Dysfunction (8 papers), Transcranial Magnetic Stimulation Studies (6 papers) and Face Recognition and Perception (5 papers). The work is most often cited by research in Cognitive Neuroscience (635 citations), Neurology (116 citations), Experimental and Cognitive Psychology (150 citations), Human-Computer Interaction (63 citations) and Psychiatry and Mental health (119 citations). Zhenlan Jin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ling Li, Junjun Zhang, Yuanzhen Li, Ruth Rosenholtz, Ping Yang, Adam Reeves, Bo Tan, Tingting Zhang, Hui Wang and Chao Zhang. Their work appears in journals such as Journal of Vision, Frontiers in Human Neuroscience, Brain Structure and Function, NeuroImage and Brain Topography.
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.