Jiangjiang Wu

582 citations
36 papers · 423 · h-index 12

Impact in

    • Remote-Sensing Image Classification
    • Transportation Planning and Optimization
    • Human Mobility and Location-Based Analysis

Papers in

Jiangjiang Wu

32 papers receiving 405 citations

Peers

Jiangjiang Wu
Comparison fields: 5 of 55
  • Media Technology 97
  • Transportation 64
  • Space and Planetary Science 8
  • Building and Construction 70
  • Computer Vision and Pattern Recognition 96
Replace Jie Zeng with:
Jie Zeng China
Linyuan Xia China
Zhongliang Fu China
Bingxuan Guo China
Jiangfan Feng China
Matthias Butenuth Germany
Marco Fanfani Italy
Xinwei Zheng China
Vladislav Myasnikov Russia
Ignacio Garcia‐Dorado United States
Jiangjiang Wu relative to Jie Zeng China Jie Zeng's profile →
Citations per field
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Jie Zeng · 1×
Citations per year

Countries citing papers authored by Jiangjiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jiangjiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jiangjiang Wu, 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 Jiangjiang Wu Line = papers co-authored together Jiangjiang Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202364
2 201945
3 202240
4 201334
5 202024
6 202124
7 201623
8 201820
9 202318
10 202316
11 201913
12 202213
13 202211
14 201511
15 201111
16 201910
17 20209
18 20145
19 20185
20 20194

About Jiangjiang Wu

Jiangjiang Wu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Building and Construction, Ocean Engineering and Computer Networks and Communications, having authored 36 papers that have together received 423 indexed citations. Recurring topics across this work include Satellite Communication Systems (6 papers), Traffic Prediction and Management Techniques (6 papers), Cloud Data Security Solutions (6 papers), Remote-Sensing Image Classification (5 papers), Automated Road and Building Extraction (4 papers), Distributed and Parallel Computing Systems (4 papers), Security and Verification in Computing (4 papers) and Human Mobility and Location-Based Analysis (4 papers). The work is most often cited by research in Media Technology (97 citations), Transportation (64 citations), Space and Planetary Science (8 citations), Building and Construction (70 citations) and Computer Vision and Pattern Recognition (96 citations). Jiangjiang Wu has collaborated with scholars based in China. Frequent co-authors include Hao Chen, Chun Du, Luo Chen, Jun Li, Wei Xiong, Hao Chen, Jun Li, Zhiying Wang, Wenyuan Shi and Ning Jing. Their work appears in journals such as Remote Sensing, Information Sciences, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, ISPRS International Journal of Geo-Information and Nanotechnology Reviews.

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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