Ke Mai

989 total citations · 1 hit paper
11 papers, 841 citations indexed

About

Ke Mai is a scholar working on Transportation, Global and Planetary Change and Automotive Engineering. According to data from OpenAlex, Ke Mai has authored 11 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Transportation, 4 papers in Global and Planetary Change and 3 papers in Automotive Engineering. Recurrent topics in Ke Mai's work include Human Mobility and Location-Based Analysis (5 papers), Transportation Planning and Optimization (3 papers) and Transportation and Mobility Innovations (3 papers). Ke Mai is often cited by papers focused on Human Mobility and Location-Based Analysis (5 papers), Transportation Planning and Optimization (3 papers) and Transportation and Mobility Innovations (3 papers). Ke Mai collaborates with scholars based in China, Hong Kong and Poland. Ke Mai's co-authors include Xia Li, Xiaoping Liu, Yao Yao, Jinbao Zhang, Penghua Liu, Yatao Zhang, Yao Yao, Wei Tu, Qingquan Li and Yiyong Chen and has published in prestigious journals such as Tourism Management, Sustainability and IEEE Transactions on Industrial Informatics.

In The Last Decade

Ke Mai

9 papers receiving 827 citations

Hit Papers

Sensing spatial distribution of urban land use by integra... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ke Mai China 7 529 478 143 100 99 11 841
Jialyu He China 10 449 0.8× 285 0.6× 127 0.9× 142 1.4× 111 1.1× 12 714
Yuan Meng China 13 344 0.7× 249 0.5× 123 0.9× 67 0.7× 74 0.7× 35 638
Jinzhou Cao China 12 327 0.6× 494 1.0× 121 0.8× 133 1.3× 72 0.7× 36 772
Yatao Zhang China 12 402 0.8× 321 0.7× 127 0.9× 45 0.5× 59 0.6× 21 653
Hanfa Xing China 16 471 0.9× 287 0.6× 138 1.0× 137 1.4× 143 1.4× 35 879
Hongzan Jiao China 18 248 0.5× 239 0.5× 114 0.8× 200 2.0× 110 1.1× 46 776
Jincheng Jiang China 12 217 0.4× 320 0.7× 133 0.9× 60 0.6× 47 0.5× 35 684
Li Shi China 13 355 0.7× 637 1.3× 109 0.8× 49 0.5× 26 0.3× 22 969
Haolin Liang China 5 226 0.4× 179 0.4× 39 0.3× 116 1.2× 62 0.6× 10 439
Johannes Uhl United States 19 416 0.8× 90 0.2× 93 0.7× 65 0.7× 78 0.8× 56 961

Countries citing papers authored by Ke Mai

Since Specialization
Citations

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

Fields of papers citing papers by Ke Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Mai

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Mai. A scholar is included among the top collaborators of Ke Mai 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 Ke Mai. Ke Mai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Mai, Ke, Yang Xu, Xinyue Chen, Hengyun Li, & Sangwon Park. (2025). Coupling mobile positioning data and discrete choice model to decode travelers’ spatial choices within urban destinations. Tourism Management. 111. 105254–105254.
3.
Bojić, Iva, Dániel Kondor, Wei Tu, et al.. (2021). Identifying the Potential for Partial Integration of Private and Public Transportation. Sustainability. 13(6). 3424–3424. 3 indexed citations
4.
Tu, Wei, Ke Mai, Yatao Zhang, et al.. (2020). Real-Time Route Recommendations for E-Taxies Leveraging GPS Trajectories. IEEE Transactions on Industrial Informatics. 17(5). 3133–3142. 23 indexed citations
5.
Zhou, Baoding, Wei Tu, Ke Mai, et al.. (2020). A Novel Access Point Placement Method for WiFi Fingerprinting Considering Existing APs. IEEE Wireless Communications Letters. 9(11). 1799–1802. 14 indexed citations
6.
Tu, Wei, Yatao Zhang, Qingquan Li, Ke Mai, & Jinzhou Cao. (2020). Scale Effect on Fusing Remote Sensing and Human Sensing to Portray Urban Functions. IEEE Geoscience and Remote Sensing Letters. 18(1). 38–42. 16 indexed citations
7.
Zhang, Yatao, Qingquan Li, Wei Tu, et al.. (2019). Functional urban land use recognition integrating multi-source geospatial data and cross-correlations. Computers Environment and Urban Systems. 78. 101374–101374. 98 indexed citations
8.
Mai, Ke, et al.. (2019). STIETR. 5–8. 2 indexed citations
9.
Yao, Yao, Xiaoping Liu, Xia Li, et al.. (2017). Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata. International Journal of Geographical Information Systems. 31(12). 2452–2479. 103 indexed citations
10.
Yao, Yao, Xiaoping Liu, Xia Li, et al.. (2017). Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data. International Journal of Geographical Information Systems. 1–25. 192 indexed citations
11.
Yao, Yao, Xia Li, Xiaoping Liu, et al.. (2016). Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model. International Journal of Geographical Information Systems. 31(4). 825–848. 390 indexed citations breakdown →

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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