Mengjun Kang

724 total citations
25 papers, 526 citations indexed

About

Mengjun Kang is a scholar working on Transportation, Geography, Planning and Development and Building and Construction. According to data from OpenAlex, Mengjun Kang has authored 25 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Transportation, 8 papers in Geography, Planning and Development and 7 papers in Building and Construction. Recurrent topics in Mengjun Kang's work include Geographic Information Systems Studies (7 papers), Transportation Planning and Optimization (5 papers) and Urban Transport and Accessibility (5 papers). Mengjun Kang is often cited by papers focused on Geographic Information Systems Studies (7 papers), Transportation Planning and Optimization (5 papers) and Urban Transport and Accessibility (5 papers). Mengjun Kang collaborates with scholars based in China, Hong Kong and United States. Mengjun Kang's co-authors include Shiliang Su, Bozhao Li, Min Weng, Hui Zhang, Miao Wang, Lirong Hu, Shenjing He, Qingyun Du, Hao Zhou and Chong Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing.

In The Last Decade

Mengjun Kang

24 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mengjun Kang China 10 299 145 89 83 60 25 526
Yikang Rui China 15 250 0.8× 240 1.7× 116 1.3× 34 0.4× 23 0.4× 54 617
Hengcai Zhang China 14 364 1.2× 162 1.1× 79 0.9× 45 0.5× 30 0.5× 48 669
Xiujun Ma China 9 556 1.9× 111 0.8× 172 1.9× 37 0.4× 42 0.7× 19 678
Biao He China 14 183 0.6× 108 0.7× 94 1.1× 30 0.4× 29 0.5× 38 467
Hiroshi Kanasugi Japan 10 313 1.0× 115 0.8× 49 0.6× 28 0.3× 15 0.3× 26 468
Zhiyuan Zhao China 13 281 0.9× 50 0.3× 104 1.2× 32 0.4× 40 0.7× 25 445
Yongxi Gong China 13 345 1.2× 98 0.7× 83 0.9× 42 0.5× 25 0.4× 31 500
Takeshi Shirabe Sweden 8 115 0.4× 83 0.6× 77 0.9× 81 1.0× 23 0.4× 19 418
Katarzyna Siła-Nowicka United Kingdom 13 297 1.0× 66 0.5× 118 1.3× 24 0.3× 40 0.7× 33 546

Countries citing papers authored by Mengjun Kang

Since Specialization
Citations

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

Fields of papers citing papers by Mengjun Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengjun Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Mengjun Kang. A scholar is included among the top collaborators of Mengjun Kang 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 Mengjun Kang. Mengjun Kang 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.
Luo, Yun, Bozhao Li, Hui Zhang, Mengjun Kang, & Shiliang Su. (2025). Unlocking the nonlinear TOD-metro ridership relationship: A novel machine learning approach embedding spatiotemporal heterogeneity. Journal of Transport Geography. 126. 104222–104222. 3 indexed citations
2.
Weng, Min, et al.. (2024). Making a narrative tourism map: the case of Jiaxing’s ‘Red Boat Spirit Map’, China. Journal of Maps. 20(1). 1–15. 1 indexed citations
3.
Kang, Mengjun, et al.. (2024). TransMI: a transfer-learning method for generalized map information evaluation. Cartography and Geographic Information Science. 52(4). 370–386. 4 indexed citations
4.
Li, Bozhao, Mengqi Wang, Zhongliang Cai, Shiliang Su, & Mengjun Kang. (2023). VIS-MM: a novel map-matching algorithm with semantic fusion from vehicle-borne images. International Journal of Geographical Information Systems. 37(5). 1069–1098. 5 indexed citations
5.
Liu, Cheng, et al.. (2023). A graph‐based method for Chinese address matching. Transactions in GIS. 27(3). 859–876. 4 indexed citations
6.
Wang, Mengqi, Yinglin Wang, Bozhao Li, Zhongliang Cai, & Mengjun Kang. (2022). A Population Spatialization Model at the Building Scale Using Random Forest. Remote Sensing. 14(8). 1811–1811. 19 indexed citations
7.
Li, Bozhao, Zhongliang Cai, Mengjun Kang, et al.. (2022). An improved hidden Markov model-based map matching algorithm considering candidate point grouping and trajectory connectivity. Cartography and Geographic Information Science. 50(4). 351–370. 4 indexed citations
8.
Kang, Mengjun, et al.. (2021). A random forest classifier with cost-sensitive learning to extract urban landmarks from an imbalanced dataset. International Journal of Geographical Information Systems. 36(3). 496–513. 11 indexed citations
9.
Han, Zixuan, et al.. (2021). Map Design for Public Health Emergencies: a Novel Conceptual Framework for Thematic Content Selection. Journal of Geovisualization and Spatial Analysis. 5(2). 2 indexed citations
10.
Su, Shiliang, Hui Zhang, Miao Wang, Min Weng, & Mengjun Kang. (2020). Transit-oriented development (TOD) typologies around metro station areas in urban China: A comparative analysis of five typical megacities for planning implications. Journal of Transport Geography. 90. 102939–102939. 120 indexed citations
11.
12.
Su, Shiliang, et al.. (2020). Unraveling the impact of TOD on housing rental prices and implications on spatial planning: A comparative analysis of five Chinese megacities. Habitat International. 107. 102309–102309. 63 indexed citations
13.
Weng, Min, et al.. (2020). A tourist map of Xi’an: combining historical city characteristics with art. Journal of Maps. 16(1). 195–202. 8 indexed citations
14.
Lin, Yue, Yuyang Cai, Yue Gong, Mengjun Kang, & Lin Li. (2019). Extracting urban landmarks from geographical datasets using a random forests classifier. International Journal of Geographical Information Systems. 33(12). 2406–2423. 9 indexed citations
15.
Lin, Yue, Mengjun Kang, Yuyang Wu, Qingyun Du, & Tao Liu. (2019). A deep learning architecture for semantic address matching. International Journal of Geographical Information Systems. 34(3). 559–576. 48 indexed citations
16.
Xi, Yuliang, Xiangyuan Ma, Huihui Zhang, et al.. (2018). The Application of the Analytic Hierarchy Process and a New Correlation Algorithm to Urban Construction and Supervision Using Multi-Source Government Data in Tianjin. ISPRS International Journal of Geo-Information. 7(2). 50–50. 5 indexed citations
17.
Kang, Mengjun, et al.. (2016). A Comparative Evaluation of Online Geocoding Services in China. 41(10). 1358. 1 indexed citations
18.
Kang, Mengjun, et al.. (2016). An analysis of spatial patterns of toponyms in Guangdong, China. Journal of Cultural Geography. 33(2). 161–180. 9 indexed citations
19.
Kang, Mengjun, et al.. (2015). A New Method of Chinese Address Extraction Based on Address Tree Model. SHILAP Revista de lepidopterología. 20 indexed citations
20.
Kang, Mengjun, Mingjun Wang, & Qingyun Du. (2015). A Method of DTM Construction Based on Quadrangular Irregular Networks and Related Error Analysis. PLoS ONE. 10(5). e0127592–e0127592. 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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