Ding Ma
Impact in
- Transportation top 5%
- 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 13
- Urban Transport and Accessibility 9
-
- Quantum Dots Synthesis And Properties 12
- Copper-based nanomaterials and applications 6
- Co-authors
- Bin Jiang (6 shared papers)Renzhong Guo (14 shared papers)Mats Sandberg (2 shared papers)Toshihiro Osaragi (2 shared papers)Bin Yao (12 shared papers)Chunkai Wang (11 shared papers)Zhanhui Ding (11 shared papers)Yongfeng Li (11 shared papers)
In The Last Decade
Ding Ma
66 papers receiving 590 citations
Peers
Comparison fields: 5 of 95
- Transportation 159
- Building and Construction 97
- Geography, Planning and Development 36
- Global and Planetary Change 106
- Materials Chemistry 137
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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 42 | |
| 2 | 2023 | 40 | |
| 3 | 2020 | 39 | |
| 4 | 2022 | 32 | |
| 5 | Why Topology Matters in Predicting Human Activities | 2018 | 19 |
| 6 | 2014 | 19 | |
| 7 | 2021 | 18 | |
| 8 | 2024 | 17 | |
| 9 | 2016 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2023 | 16 | |
| 12 | 2024 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2013 | 14 | |
| 15 | 2023 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2023 | 11 | |
| 20 | 2015 | 11 |
About Ding Ma
Ding Ma is a scholar working on Transportation, Materials Chemistry, Electrical and Electronic Engineering, Building and Construction and Global and Planetary Change, having authored 71 papers that have together received 596 indexed citations. Recurring topics across this work include Urban Design and Spatial Analysis (13 papers), Human Mobility and Location-Based Analysis (13 papers), Quantum Dots Synthesis And Properties (12 papers), Chalcogenide Semiconductor Thin Films (12 papers), Land Use and Ecosystem Services (10 papers), Urban Transport and Accessibility (9 papers), Copper-based nanomaterials and applications (6 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Transportation (159 citations), Building and Construction (97 citations), Geography, Planning and Development (36 citations), Global and Planetary Change (106 citations) and Materials Chemistry (137 citations). Ding Ma has collaborated with scholars based in China, Sweden and Hong Kong. Frequent co-authors include Bin Jiang, Renzhong Guo, Mats Sandberg, Toshihiro Osaragi, Bin Yao, Chunkai Wang, Zhanhui Ding, Yongfeng Li, Miaoxi Zhao and Takuya Oki. Their work appears in journals such as ISPRS International Journal of Geo-Information, International Journal of Digital Earth, Solar Energy Materials and Solar Cells, Journal of Alloys and Compounds and Acta Physico-Chimica Sinica.
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.