Jiang Wu

945 citations
61 papers · 661 indexed · h-index 14

Impact in

Papers in

Jiang Wu

54 papers receiving 632 citations

Peers

Jiang Wu
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 339
  • Aerospace Engineering 167
  • Media Technology 43
  • Artificial Intelligence 132
  • Industrial and Manufacturing Engineering 38
Replace Nobuo Kawaguchi with:
Nobuo Kawaguchi Japan
Han Sun China
Hanan Abdullah Mengash Saudi Arabia
Junhuai Li China
Fadwa Alrowais Saudi Arabia
Shuo Chang China
Donggyu Joo South Korea
Lingjun Zhao China
Shyi‐Chyi Cheng Taiwan
Babak Majidi Iran
Jiang Wu relative to Nobuo Kawaguchi Japan Nobuo Kawaguchi's profile →
Citations per field
00.5×1.5×
Nobuo Kawaguchi · 1×
Citations per year

Countries citing papers authored by Jiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20234
5 20221
6 202110
7 202017
8 202035
9 20192
10 20182
11 20171
12
Review and Prospect on Development of Decision Support System
20161
13 201660
14 20147
15 20142
16 20103
17 20082
18
Identification of Hammerstein model based on gene expression programming
20081
19 20071
20 20071

About Jiang Wu

Jiang Wu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Media Technology, Medical Laboratory Technology and Aerospace Engineering, having authored 61 papers that have together received 661 indexed citations. Recurring topics across this work include Data Visualization and Analytics (7 papers), Robotics and Sensor-Based Localization (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Video Analysis and Summarization (4 papers), Robotic Path Planning Algorithms (4 papers), Guidance and Control Systems (4 papers), Image and Video Quality Assessment (3 papers) and Infrared Target Detection Methodologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (339 citations), Aerospace Engineering (167 citations), Media Technology (43 citations), Artificial Intelligence (132 citations) and Industrial and Manufacturing Engineering (38 citations). Jiang Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Haibin Duan, Guanjun Ma, Xiangyin Zhang, Yingcai Wu, Ping Jiang, Quan Wang, Guoqing Liu, Qingyang Xu, Dongyu Liu and Bo Wan. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Signal Processing Letters, Electronics, Computers, materials & continua/Computers, materials & continua (Print) and Measurement.

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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