Guangming Zhu
- Human-Computer Interaction top 0.5%
- Hand Gesture Recognition Systems 13
- Polymers and Plastics top 2%
- Polymer composites and self-healing 36
- Conducting polymers and applications 12
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- Human Pose and Action Recognition 21
- Multimodal Machine Learning Applications 8
- Biomedical Engineering top 5%
- Gait Recognition and Analysis 10
- Neurology top 10%
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- Photochromic and Fluorescence Chemistry 9
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- Seismic Imaging and Inversion Techniques 8
- Co-authors
- Peiyi ShenLiang ZhangJuan SongMohammed BennamounSyed Afaq Ali ShahFang RenYongkun WangTianning Ren
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (1 paper)ACS Applied Materials & Interfaces (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Guangming Zhu
123 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 151
- Human-Computer Interaction 419
- Polymers and Plastics 805
- Computer Vision and Pattern Recognition 967
- Biomedical Engineering 666
- Neurology 103
Countries citing papers authored by Guangming Zhu
This map shows the geographic impact of Guangming Zhu'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 Guangming Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangming Zhu more than expected).
Fields of papers citing papers by Guangming Zhu
This network shows the impact of papers produced by Guangming Zhu. 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 Guangming Zhu. The network helps show where Guangming Zhu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guangming Zhu, 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 | 14 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 15 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 10 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 77 | |
| 14 | 2021 | 46 | |
| 15 | 2020 | 58 | |
| 16 | 2019 | 1 | |
| 17 | Attention in convolutional LSTM for gesture recognition | 2018 | 52 |
| 18 | 2017 | 21 | |
| 19 | 2017 | 202 | |
| 20 | Preparation of pentaerythritol triacrylate using SO~(2-)_4/TiO_2/La~(3+) as catalyst | 2005 | 1 |
About Guangming Zhu
Guangming Zhu is a scholar working on Polymers and Plastics, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 128 papers that have together received 2.9k indexed citations. Recurring topics across this work include Polymer composites and self-healing (36 papers), Human Pose and Action Recognition (21 papers), Hand Gesture Recognition Systems (13 papers), Conducting polymers and applications (12 papers), Gait Recognition and Analysis (10 papers), Photochromic and Fluorescence Chemistry (9 papers), Multimodal Machine Learning Applications (8 papers) and Seismic Imaging and Inversion Techniques (8 papers). The work is most often cited by research in Human-Computer Interaction (419 citations), Polymers and Plastics (805 citations) and Computer Vision and Pattern Recognition (967 citations). Guangming Zhu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Peiyi Shen, Liang Zhang, Juan Song, Mohammed Bennamoun, Syed Afaq Ali Shah, Fang Ren, Yongkun Wang, Tianning Ren, Junqin Li and Lei Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACS Applied Materials & Interfaces.
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.