Yahui Zhang
- Artificial Intelligence top 10%
- Neural Networks and Reservoir Computing 7
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- Advanced Multi-Objective Optimization Algorithms 3
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- Advanced Memory and Neural Computing 5
- Photonic and Optical Devices 3
- Optical Network Technologies 3
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- Human Pose and Action Recognition 5
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- Additive Manufacturing Materials and Processes 4
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- Graphene research and applications 3
- Co-authors
- Qi ZhouXufeng HuangLongchao CaoTaotao ZhouShuiying XiangTingli XieJoshua RobertsonJulián Bueno
- Cited by
- Control and Systems EngineeringStatistics, Probability and UncertaintyArtificial Intelligence
- Journals
- Physical Review Letters (1 paper)Nature Communications (1 paper)Earth and Planetary Science Letters (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Yahui Zhang
32 papers receiving 593 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Control and Systems Engineering 221
- Statistics, Probability and Uncertainty 59
- Artificial Intelligence 201
- Management Science and Operations Research 50
- Computational Theory and Mathematics 59
Countries citing papers authored by Yahui Zhang
This map shows the geographic impact of Yahui Zhang'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 Yahui Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yahui Zhang more than expected).
Fields of papers citing papers by Yahui Zhang
This network shows the impact of papers produced by Yahui Zhang. 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 Yahui Zhang. The network helps show where Yahui Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yahui Zhang, 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 | 2024 | 3 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 24 | |
| 13 | 2022 | 1 | |
| 14 | 2021 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2017 | 26 | |
| 17 | 2017 | 13 | |
| 18 | Research on Teaching Reform of C Language Programming | 2008 | 1 |
| 19 | Emergent Situation Logistics Supply Chain Integrated Pattern——ELS~3 Analysis | 2005 | 1 |
| 20 | 2005 | 2 |
About Yahui Zhang
Yahui Zhang is a scholar working on Structural Biology, Statistics, Probability and Uncertainty and Human-Computer Interaction, having authored 38 papers that have together received 629 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (7 papers), Advanced Memory and Neural Computing (5 papers), Human Pose and Action Recognition (5 papers), Additive Manufacturing Materials and Processes (4 papers), Photonic and Optical Devices (3 papers), Optical Network Technologies (3 papers), Graphene research and applications (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Control and Systems Engineering (221 citations), Statistics, Probability and Uncertainty (59 citations) and Artificial Intelligence (201 citations). Yahui Zhang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Qi Zhou, Xufeng Huang, Longchao Cao, Taotao Zhou, Shuiying Xiang, Tingli Xie, Joshua Robertson, Julián Bueno, Antonio Hurtado and Matéj Hejda. Their work appears in journals such as Physical Review Letters, Nature Communications and Earth and Planetary Science Letters.
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.