De Tong
Impact in
- Urban Studies top 1%
- Urban and Rural Development Challenges
- Transportation top 5%
- Urban Transport and Accessibility
Papers in
-
- Urbanization and City Planning 10
- Urban and Rural Development Challenges 8
-
- Land Use and Ecosystem Services 12
- Co-authors
- Xuan Liu (5 shared papers)Wenfeng Zheng (2 shared papers)Xiaoguang Wang (5 shared papers)Linfeng Xu (1 shared paper)Zhixin Liu (1 shared paper)Lirong Yin (1 shared paper)Ian MacLachlan (5 shared papers)Guicai Li (3 shared papers)
- Journals
- Land Use Policy (7 papers)Cities (3 papers)Applied Geography (3 papers)Habitat International (3 papers)Journal of Urban Planning and Development (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
De Tong
46 papers receiving 977 citations
De Tong's Hit Papers
Peers
Comparison fields: 5 of 106
- Urban Studies 151
- Transportation 156
- Global and Planetary Change 350
- Health, Toxicology and Mutagenesis 131
- Economics and Econometrics 230
Countries citing papers authored by De Tong
This map shows the geographic impact of De Tong'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 De Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De Tong more than expected).
Fields of papers citing papers by De Tong
This network shows the impact of papers produced by De Tong. 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 De Tong. The network helps show where De Tong may publish in the future.
Co-authors
The 25 scholars most cited alongside De Tong, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Forecasting Urban Land Use Change Based on Cellular Automata and the PLUS Model Hit paper breakdown → | 2022 | 176 |
| 2 | 2022 | 89 | |
| 3 | 2023 | 52 | |
| 4 | 2022 | 52 | |
| 5 | 2021 | 51 | |
| 6 | 2022 | 49 | |
| 7 | 2019 | 46 | |
| 8 | 2019 | 41 | |
| 9 | 2018 | 39 | |
| 10 | 2019 | 37 | |
| 11 | 2020 | 34 | |
| 12 | 2021 | 31 | |
| 13 | 2014 | 30 | |
| 14 | 2023 | 27 | |
| 15 | 2021 | 25 | |
| 16 | 2023 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 2023 | 13 | |
| 19 | 2023 | 12 | |
| 20 | 2020 | 12 |
About De Tong
De Tong is a scholar working on Urban Studies, Global and Planetary Change, Political Science and International Relations, Economics and Econometrics and Transportation, having authored 48 papers that have together received 994 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (12 papers), China's Socioeconomic Reforms and Governance (10 papers), Urbanization and City Planning (10 papers), Urban and Rural Development Challenges (8 papers), Housing Market and Economics (7 papers), Urban Transport and Accessibility (6 papers), Land Rights and Reforms (6 papers) and Urban Green Space and Health (4 papers). The work is most often cited by research in Urban Studies (151 citations), Transportation (156 citations), Global and Planetary Change (350 citations), Health, Toxicology and Mutagenesis (131 citations) and Economics and Econometrics (230 citations). De Tong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xuan Liu, Wenfeng Zheng, Xiaoguang Wang, Linfeng Xu, Zhixin Liu, Lirong Yin, Ian MacLachlan, Guicai Li, Minghui Kong and Yani Lai. Their work appears in journals such as Land Use Policy, Cities, Applied Geography, Habitat International and Journal of Urban Planning and Development.
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.