Mengjun Kang

758 citations
26 papers · 554 · h-index 11

Impact in

Papers in

Mengjun Kang

24 papers receiving 537 citations

Peers

Mengjun Kang
Comparison fields: 5 of 80
  • Transportation 312
  • Geography, Planning and Development 61
  • Building and Construction 149
  • Global and Planetary Change 97
  • Signal Processing 36
Replace Mark Thurstain‐Goodwin with:
Mark Thurstain‐Goodwin United Kingdom
Yikang Rui China
Biao He China
Yongxi Gong China
Hengcai Zhang China
Kei‐ichi Okunuki Japan
Ke Mai China
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Mengjun Kang relative to Mark Thurstain‐Goodwin United Kingdom Mark Thurstain‐Goodwin's profile →
Citations per field
00.5×11.9×
Mark Thurstain‐Goodwin · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mengjun Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mengjun Kang Line = papers co-authored together Mengjun Kang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020127
2 202065
3 202264
4 202053
5 202250
6 201949
7 202223
8 201521
9 202020
10 202112
11 201910
12 20208
13 20168
14 20157
15 20176
16 20185
17 20235
18 20234
19 20244
20 20224

About Mengjun Kang

Mengjun Kang is a scholar working on Transportation, Geography, Planning and Development, Building and Construction, Ocean Engineering and Signal Processing, having authored 26 papers that have together received 554 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (7 papers), Urban Transport and Accessibility (5 papers), Transportation Planning and Optimization (5 papers), Human Mobility and Location-Based Analysis (5 papers), Data Management and Algorithms (4 papers), Automated Road and Building Extraction (4 papers), Spatial Cognition and Navigation (3 papers) and Traffic Prediction and Management Techniques (3 papers). The work is most often cited by research in Transportation (312 citations), Geography, Planning and Development (61 citations), Building and Construction (149 citations), Global and Planetary Change (97 citations) and Signal Processing (36 citations). Mengjun Kang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shiliang Su, Bozhao Li, Min Weng, Hui Zhang, Miao Wang, Shenjing He, Lirong Hu, Qingyun Du, Hao Zhou and Chong Zhao. Their work appears in journals such as Journal of Transport Geography, Journal of Maps, Cartography and Geographic Information Science, ISPRS International Journal of Geo-Information and Journal of Cultural Geography.

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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