Xiujun Ma
Impact in
- Transportation top 0.5%
- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
- Transportation Planning and Optimization
- Building and Construction top 5%
- Traffic Prediction and Management Techniques
Papers in ⓘ
-
- Human Mobility and Location-Based Analysis 9
-
- Peer-to-Peer Network Technologies 4
- Distributed and Parallel Computing Systems 4
- Co-authors
- Yu Liu (5 shared papers)Chaogui Kang (4 shared papers)Song Gao (2 shared papers)Yaoli Wang (1 shared paper)Daoqin Tong (1 shared paper)Yu Liu (1 shared paper)Lun Wu (1 shared paper)Kunqing Xie (9 shared papers)
- Journals
- Data Science Journal (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)Journal of Urban Technology (1 paper)CATENA (1 paper)Transactions in GIS (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Xiujun Ma
17 papers receiving 661 citations
Peers
Comparison fields: 5 of 73
- Transportation 556
- Building and Construction 111
- Global and Planetary Change 172
- Geography, Planning and Development 42
- Statistical and Nonlinear Physics 66
Countries citing papers authored by Xiujun Ma
This map shows the geographic impact of Xiujun 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 Xiujun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiujun Ma more than expected).
Fields of papers citing papers by Xiujun Ma
This network shows the impact of papers produced by Xiujun 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 Xiujun Ma. The network helps show where Xiujun Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiujun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 203 | |
| 2 | 2011 | 186 | |
| 3 | 2012 | 95 | |
| 4 | 2010 | 62 | |
| 5 | 2012 | 38 | |
| 6 | 2008 | 26 | |
| 7 | 2008 | 18 | |
| 8 | 2003 | 15 | |
| 9 | 2008 | 13 | |
| 10 | 2010 | 7 | |
| 11 | 2010 | 5 | |
| 12 | 2008 | 4 | |
| 13 | 2007 | 2 | |
| 14 | 2010 | 1 | |
| 15 | 2007 | 1 | |
| 16 | 2013 | 1 | |
| 17 | 2010 | 1 | |
| 18 | 2019 | 0 | |
| 19 | 2008 | 0 |
About Xiujun Ma
Xiujun Ma is a scholar working on Transportation, Computer Networks and Communications, Signal Processing, Building and Construction and Artificial Intelligence, having authored 19 papers that have together received 678 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (9 papers), Data Management and Algorithms (5 papers), Peer-to-Peer Network Technologies (4 papers), Distributed and Parallel Computing Systems (4 papers), Geographic Information Systems Studies (3 papers), Traffic Prediction and Management Techniques (3 papers), Complex Network Analysis Techniques (2 papers) and Urban Design and Spatial Analysis (2 papers). The work is most often cited by research in Transportation (556 citations), Building and Construction (111 citations), Global and Planetary Change (172 citations), Geography, Planning and Development (42 citations) and Statistical and Nonlinear Physics (66 citations). Xiujun Ma has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Yu Liu, Chaogui Kang, Song Gao, Yaoli Wang, Daoqin Tong, Yu Liu, Lun Wu, Kunqing Xie, Guojie Song and Yi Zhang. Their work appears in journals such as Data Science Journal, Physica A Statistical Mechanics and its Applications, Journal of Urban Technology, CATENA and Transactions in GIS.
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.