Ding Lu
Impact in
Papers in ⓘ
- Co-authors
- Gang Zhou (4 shared papers)Zhaojun Bai (6 shared papers)Yangfeng Su (2 shared papers)Yijing Chen (1 shared paper)Ling Yuan (1 shared paper)Xiaobin Zhang (1 shared paper)Daoshan Yang (1 shared paper)Fengli Qu (1 shared paper)
- Journals
- SIAM Journal on Matrix Analysis and Applications (6 papers)Analytical and Bioanalytical Chemistry (1 paper)Journal of Materials Chemistry B (1 paper)Field Crops Research (1 paper)International Journal of Digital Earth (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Ding Lu
23 papers receiving 327 citations
Peers
Comparison fields: 5 of 81
- Computational Mathematics 7
- Numerical Analysis 26
- Spectroscopy 42
- Computational Theory and Mathematics 36
- Materials Chemistry 104
Countries citing papers authored by Ding Lu
This map shows the geographic impact of Ding Lu'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 Ding Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Lu more than expected).
Fields of papers citing papers by Ding Lu
This network shows the impact of papers produced by Ding Lu. 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 Ding Lu. The network helps show where Ding Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding Lu, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 64 | |
| 2 | 2017 | 52 | |
| 3 | 2016 | 41 | |
| 4 | 2023 | 28 | |
| 5 | 2015 | 23 | |
| 6 | 2017 | 23 | |
| 7 | 2017 | 20 | |
| 8 | 2019 | 16 | |
| 9 | 2018 | 15 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2018 | 7 | |
| 14 | 2015 | 6 | |
| 15 | 2018 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2016 | 3 | |
| 18 | 2018 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2023 | 1 |
About Ding Lu
Ding Lu is a scholar working on Computational Mathematics, Numerical Analysis, Computational Theory and Mathematics, Signal Processing and Geriatrics and Gerontology, having authored 26 papers that have together received 340 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (8 papers), Advanced biosensing and bioanalysis techniques (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Luminescence and Fluorescent Materials (2 papers), Data Management and Algorithms (2 papers), Electrochemical sensors and biosensors (2 papers), Molecular Sensors and Ion Detection (2 papers) and Electromagnetic Scattering and Analysis (2 papers). The work is most often cited by research in Computational Mathematics (7 citations), Numerical Analysis (26 citations), Spectroscopy (42 citations), Computational Theory and Mathematics (36 citations) and Materials Chemistry (104 citations). Ding Lu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Gang Zhou, Zhaojun Bai, Yangfeng Su, Yijing Chen, Ling Yuan, Xiaobin Zhang, Daoshan Yang, Fengli Qu, Rongmei Kong and Bart Vandereycken. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, Analytical and Bioanalytical Chemistry, Journal of Materials Chemistry B, Field Crops Research and International Journal of Digital Earth.
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.