Ming Zhong

1.8k total citations
139 papers, 1.4k citations indexed

About

Ming Zhong is a scholar working on Transportation, Building and Construction and Automotive Engineering. According to data from OpenAlex, Ming Zhong has authored 139 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Transportation, 47 papers in Building and Construction and 24 papers in Automotive Engineering. Recurrent topics in Ming Zhong's work include Transportation Planning and Optimization (53 papers), Urban Transport and Accessibility (34 papers) and Traffic Prediction and Management Techniques (24 papers). Ming Zhong is often cited by papers focused on Transportation Planning and Optimization (53 papers), Urban Transport and Accessibility (34 papers) and Traffic Prediction and Management Techniques (24 papers). Ming Zhong collaborates with scholars based in China, Canada and United States. Ming Zhong's co-authors include Chaozhong Wu, Bahram Salehi, John Douglas Hunt, Bingfeng Si, Ziyou Gao, Yun Zhang, Zhen Huang, Vivek Dey, Hui Zhang and Charles Atombo and has published in prestigious journals such as International Journal of Hydrogen Energy, International Journal of Environmental Research and Public Health and Sustainability.

In The Last Decade

Ming Zhong

126 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming Zhong China 18 517 306 293 258 200 139 1.4k
Sharaf AlKheder Kuwait 20 249 0.5× 490 1.6× 180 0.6× 343 1.3× 99 0.5× 84 1.3k
Simon Hu China 23 428 0.8× 460 1.5× 462 1.6× 62 0.2× 413 2.1× 132 1.8k
Huapu Lu China 21 903 1.7× 655 2.1× 314 1.1× 297 1.2× 425 2.1× 201 1.8k
Dongjoo Park South Korea 24 1.2k 2.3× 1.1k 3.6× 317 1.1× 406 1.6× 563 2.8× 117 2.3k
Feifeng Jiang Hong Kong 20 173 0.3× 394 1.3× 211 0.7× 149 0.6× 54 0.3× 37 1.4k
Luliang Tang China 22 524 1.0× 386 1.3× 249 0.8× 37 0.1× 105 0.5× 84 1.4k
Lisa Aultman-Hall United States 24 1.7k 3.3× 549 1.8× 301 1.0× 676 2.6× 142 0.7× 107 2.7k
Jie He China 20 139 0.3× 122 0.4× 265 0.9× 156 0.6× 147 0.7× 125 1.4k
Xiaobo Liu China 24 812 1.6× 555 1.8× 640 2.2× 152 0.6× 804 4.0× 131 2.1k

Countries citing papers authored by Ming Zhong

Since Specialization
Citations

This map shows the geographic impact of Ming Zhong'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 Ming Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Zhong more than expected).

Fields of papers citing papers by Ming Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Zhong. 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 Ming Zhong. The network helps show where Ming Zhong may publish in the future.

Co-authorship network of co-authors of Ming Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zhong. A scholar is included among the top collaborators of Ming Zhong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Zhong. Ming Zhong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Dong, Yiming, et al.. (2025). Revealing the driving forces of urban form at the district scale using a multi-group analysis based on the PLS-SEM approach. Sustainable Cities and Society. 130. 106634–106634.
3.
Zhang, Yue, et al.. (2024). Adsorption performance of 1,4-dioxane by MCM-22 and Beta zeolites and their bio-zeolite composite system in the presence of co-contaminants. Separation and Purification Technology. 354. 128752–128752. 2 indexed citations
4.
Pan, Jie, Yun Liu, Ping Wang, et al.. (2024). Fe-ZSM-5 zeolite catalyst for heterogeneous Fenton oxidation of 1,4-dioxane: effect of Si/Al ratios and contributions of reactive oxygen species. Environmental Science and Pollution Research. 31(13). 19738–19752. 4 indexed citations
5.
Wang, Xiuwen, Jinrong Zhang, Ming Zhong, Bitao Su, & Ziqiang Lei. (2024). Self-supported bimetallic iron-nickel sulfide nanosheets for efficient alkaline electrocatalytic oxygen evolution. International Journal of Hydrogen Energy. 81. 1209–1215. 9 indexed citations
6.
Qiu, Lei, et al.. (2024). A review of ToF-based LiDAR. Journal of Semiconductors. 45(10). 101201–101201. 9 indexed citations
7.
Zhong, Ming, et al.. (2024). Research on Wind Turbine Location and Wind Energy Resource Evaluation Methodology in Port Scenarios. Sustainability. 16(3). 1074–1074. 11 indexed citations
8.
Yang, Tingting, et al.. (2023). Interactive Educational Toy Design Strategies for Promoting Young Children’s Garbage-Sorting Behavior and Awareness. International Journal of Environmental Research and Public Health. 20(5). 4460–4460. 2 indexed citations
9.
10.
Chen, Zhijun, Chaozhong Wu, Ming Zhong, Nengchao Lyu, & Zhen Huang. (2015). Identification of common features of vehicle motion under drowsy/distracted driving: A case study in Wuhan, China. Accident Analysis & Prevention. 81. 251–259. 36 indexed citations
11.
Zhong, Ming. (2013). On Spatial Data Mining under Big Data. 6 indexed citations
12.
Zhang, Qiuwen, et al.. (2013). Risk Assessment of Groundwater Contamination: A Multilevel Fuzzy Comprehensive Evaluation Approach Based on DRASTIC Model. The Scientific World JOURNAL. 2013(1). 610390–610390. 16 indexed citations
13.
Zhong, Ming, et al.. (2012). Spatial Analysis of Traffic Growth and Variations and Their Implications to the Operations of a Traffic Monitoring Program. 1 indexed citations
14.
Zhong, Ming, et al.. (2012). Analyzing Fuzzy Logic, Logistic-Decision Tree, and Neural Network Classification for Extracting Subzonal Land Uses from Remote Sensing Imagery. Transportation Research Board 91st Annual MeetingTransportation Research Board. 2 indexed citations
15.
Zhong, Ming, et al.. (2012). Comparison of Trip Generation Results from Activity-Based and Traditional Four-Step Travel Demand Modeling: A Case Study of Tampa, Florida. 1 indexed citations
16.
Zhong, Ming & Bingfeng Si. (2011). Development of a Transfer-Cost-Based Passenger Flow Assignment Model for Beijing Rail Transit Network Using Automated Fare Collection Data. Transportation Research Board 90th Annual MeetingTransportation Research Board. 5 indexed citations
17.
Zhong, Ming. (2009). Bike Sharing System in Shanghai:Planning & Practice. Urban Transport of China. 1 indexed citations
18.
Hunt, John Douglas, et al.. (2008). Developing and Applying a Parcel-Level Simulation of Developer Actions in Baltimore. Transportation Research Board 87th Annual MeetingTransportation Research Board. 7 indexed citations
19.
Hunt, John Douglas, et al.. (2006). Using Input-Output Tables and Social Accounting Matrices in Development of Land Use-Transport Interaction Models. Transportation Research Board 85th Annual MeetingTransportation Research Board. 1 indexed citations
20.
Zhong, Ming & Satish C. Sharma. (2006). Matching Hourly, Daily, and Monthly Traffic Patterns to Estimate Missing Volume Data. Transportation Research Record Journal of the Transportation Research Board. 1957(1). 32–42. 7 indexed citations

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.

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