Dianqi Li
Impact in
- Catalysis top 1%
- Ionic liquids properties and applications
-
- CO2 Reduction Techniques and Catalysts
- Electrocatalysts for Energy Conversion
- Advanced Photocatalysis Techniques
Papers in
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- Topic Modeling 7
- Natural Language Processing Techniques 5
- Adversarial Robustness in Machine Learning 2
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- Multimodal Machine Learning Applications 3
- Co-authors
- Yi Xie (3 shared papers)Jinlong Yang (2 shared papers)Yongfu Sun (1 shared paper)Wenhua Zhang (1 shared paper)Shan Gao (1 shared paper)Qiquan Luo (1 shared paper)Xingchen Jiao (1 shared paper)Yue Lin (1 shared paper)
- Journals
- Journal of Surgical Research (2 papers)Pancreatology (1 paper)Biochemical and Biophysical Research Communications (1 paper)Langmuir (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dianqi Li
26 papers receiving 2.2k citations
Dianqi Li's Hit Papers
Peers
Comparison fields: 5 of 114
- Catalysis 717
- Renewable Energy, Sustainability and the Environment 1.6k
- Process Chemistry and Technology 235
- Materials Chemistry 731
- Electrochemistry 63
Countries citing papers authored by Dianqi Li
This map shows the geographic impact of Dianqi Li'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 Dianqi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dianqi Li more than expected).
Fields of papers citing papers by Dianqi Li
This network shows the impact of papers produced by Dianqi Li. 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 Dianqi Li. The network helps show where Dianqi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Dianqi Li, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Partially oxidized atomic cobalt layers for carbon dioxide electroreduction to liquid fuel Hit paper breakdown → | 2016 | 1707 |
| 2 | 2021 | 110 | |
| 3 | 2017 | 75 | |
| 4 | 2018 | 57 | |
| 5 | 2015 | 49 | |
| 6 | 2014 | 41 | |
| 7 | 2019 | 34 | |
| 8 | 2014 | 24 | |
| 9 | 2019 | 23 | |
| 10 | 2017 | 20 | |
| 11 | 2017 | 18 | |
| 12 | 2020 | 17 | |
| 13 | 2020 | 15 | |
| 14 | 2013 | 14 | |
| 15 | 2022 | 13 | |
| 16 | 2019 | 13 | |
| 17 | 2022 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2022 | 6 | |
| 20 | Knowledge acquisition method for case-knowledge-based product family design | 2007 | 2 |
About Dianqi Li
Dianqi Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Materials Chemistry and Control and Systems Engineering, having authored 28 papers that have together received 2.3k indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers), Multimodal Machine Learning Applications (3 papers), 2D Materials and Applications (2 papers), Adversarial Robustness in Machine Learning (2 papers), Advanced Photocatalysis Techniques (2 papers), Extenics and Innovation Methods (2 papers) and Robotic Mechanisms and Dynamics (2 papers). The work is most often cited by research in Catalysis (717 citations), Renewable Energy, Sustainability and the Environment (1.6k citations), Process Chemistry and Technology (235 citations), Materials Chemistry (731 citations) and Electrochemistry (63 citations). Dianqi Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yi Xie, Jinlong Yang, Yongfu Sun, Wenhua Zhang, Shan Gao, Qiquan Luo, Xingchen Jiao, Yue Lin, Ming–Ting Sun and Yizhe Zhang. Their work appears in journals such as Journal of Surgical Research, Pancreatology, Biochemical and Biophysical Research Communications, Langmuir and Analytical Chemistry.
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.