Zeming Liu
Impact in
Papers in
-
- Topic Modeling 9
- Natural Language Processing Techniques 6
- Speech and dialogue systems 6
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- Recommender Systems and Techniques 3
- Co-authors
- Nathalie Destouches (4 shared papers)Yaya Lefkir (4 shared papers)G. Vitrant (3 shared papers)Francis Vocanson (3 shared papers)Thierry Épicier (2 shared papers)Stéphanie Reynaud (2 shared papers)Zheng-Yu Niu (4 shared papers)Haifeng Wang (4 shared papers)
- Journals
- Journal of the Optical Society of America B (1 paper)The Journal of Physical Chemistry C (1 paper)ACM Computing Surveys (1 paper)Physical Chemistry Chemical Physics (1 paper)ACS Nano (1 paper)
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Zeming Liu
15 papers receiving 203 citations
Peers
Comparison fields: 5 of 53
- Computational Mathematics 5
- Acoustics and Ultrasonics 6
- Hardware and Architecture 17
- Electronic, Optical and Magnetic Materials 46
- Structural Biology 3
Countries citing papers authored by Zeming Liu
This map shows the geographic impact of Zeming Liu'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 Zeming Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeming Liu more than expected).
Fields of papers citing papers by Zeming Liu
This network shows the impact of papers produced by Zeming Liu. 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 Zeming Liu. The network helps show where Zeming Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zeming Liu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 59 | |
| 2 | 2022 | 31 | |
| 3 | 2015 | 28 | |
| 4 | 2021 | 19 | |
| 5 | 2016 | 17 | |
| 6 | 2014 | 17 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Zeming Liu
Zeming Liu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Biomedical Engineering and Electronic, Optical and Magnetic Materials, having authored 21 papers that have together received 205 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (6 papers), Speech and dialogue systems (6 papers), Multimodal Machine Learning Applications (4 papers), Recommender Systems and Techniques (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Laser-Ablation Synthesis of Nanoparticles (3 papers) and Nonlinear Optical Materials Studies (2 papers). The work is most often cited by research in Computational Mathematics (5 citations), Acoustics and Ultrasonics (6 citations), Hardware and Architecture (17 citations), Electronic, Optical and Magnetic Materials (46 citations) and Structural Biology (3 citations). Zeming Liu has collaborated with scholars based in China, France and United States. Frequent co-authors include Nathalie Destouches, Yaya Lefkir, G. Vitrant, Francis Vocanson, Thierry Épicier, Stéphanie Reynaud, Zheng-Yu Niu, Haifeng Wang, Mario García-Lechuga and Matthieu Bugnet. Their work appears in journals such as Journal of the Optical Society of America B, The Journal of Physical Chemistry C, ACM Computing Surveys, Physical Chemistry Chemical Physics and ACS Nano.
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.