Ding Ma
Impact in
- Transportation top 2%
- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
- Building and Construction top 10%
- Urban Design and Spatial Analysis
Papers in
-
- Human Mobility and Location-Based Analysis 14
- Urban Transport and Accessibility 10
-
- Urban Design and Spatial Analysis 13
- Co-authors
- Bin Jiang (6 shared papers)Renzhong Guo (15 shared papers)Mats O. Sandberg (2 shared papers)Toshihiro Osaragi (2 shared papers)Bin Yao (13 shared papers)Yongfeng Li (11 shared papers)Zhanhui Ding (11 shared papers)Chun-Kai Wang (10 shared papers)
In The Last Decade
Ding Ma
66 papers receiving 629 citations
Peers
Comparison fields: 5 of 96
- Transportation 170
- Building and Construction 98
- Geography, Planning and Development 38
- Global and Planetary Change 112
- Materials Chemistry 141
Countries citing papers authored by Ding Ma
This map shows the geographic impact of Ding Ma'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 Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Ma more than expected).
Fields of papers citing papers by Ding Ma
This network shows the impact of papers produced by Ding Ma. 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 Ma. The network helps show where Ding Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding Ma, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 45 | |
| 2 | 2023 | 43 | |
| 3 | 2020 | 41 | |
| 4 | 2022 | 35 | |
| 5 | 2014 | 21 | |
| 6 | Why Topology Matters in Predicting Human Activities | 2018 | 20 |
| 7 | 2024 | 19 | |
| 8 | 2016 | 19 | |
| 9 | 2024 | 18 | |
| 10 | 2021 | 18 | |
| 11 | 2020 | 17 | |
| 12 | 2023 | 16 | |
| 13 | 2013 | 15 | |
| 14 | 2022 | 14 | |
| 15 | 2020 | 13 | |
| 16 | 2023 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 2004 | 12 | |
| 19 | 2015 | 12 | |
| 20 | 2023 | 11 |
About Ding Ma
Ding Ma is a scholar working on Transportation, Building and Construction, Global and Planetary Change, Materials Chemistry and Geography, Planning and Development, having authored 76 papers that have together received 639 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (14 papers), Urban Design and Spatial Analysis (13 papers), Chalcogenide Semiconductor Thin Films (13 papers), Quantum Dots Synthesis And Properties (13 papers), Urban Transport and Accessibility (10 papers), Land Use and Ecosystem Services (10 papers), Copper-based nanomaterials and applications (7 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Transportation (170 citations), Building and Construction (98 citations), Geography, Planning and Development (38 citations), Global and Planetary Change (112 citations) and Materials Chemistry (141 citations). Ding Ma has collaborated with scholars based in China, Sweden and Hong Kong. Frequent co-authors include Bin Jiang, Renzhong Guo, Mats O. Sandberg, Toshihiro Osaragi, Bin Yao, Yongfeng Li, Zhanhui Ding, Chun-Kai Wang, Miaoxi Zhao and Takuya Oki. Their work appears in journals such as ISPRS International Journal of Geo-Information, International Journal of Digital Earth, Journal of Alloys and Compounds, Solar Energy Materials and Solar Cells and Journal of Materials Engineering and Performance.
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.