Xiaqing Ding

771 citations
27 papers · 541 · h-index 14

Impact in

Papers in

Xiaqing Ding

26 papers receiving 524 citations

Peers

Xiaqing Ding
Comparison fields: 5 of 39
  • Geology 142
  • Aerospace Engineering 446
  • Computer Vision and Pattern Recognition 338
  • Instrumentation 50
  • Environmental Engineering 115
Replace Masashi Yokozuka with:
Masashi Yokozuka Japan
Tim Caselitz Germany
Yeong Sang Park South Korea
Xiyuan Liu Hong Kong
Gaurav Pandey United States
Julian Ryde United States
Jan Weingarten Switzerland
Chongjian Yuan Hong Kong
Shiyu Song China
Xiaqing Ding relative to Masashi Yokozuka Japan Masashi Yokozuka's profile →
Citations per field
00.5×10.6×
Masashi Yokozuka · 1×
Citations per year

Countries citing papers authored by Xiaqing Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xiaqing Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Xiaqing Ding, 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 Xiaqing Ding Line = papers co-authored together Xiaqing Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201980
2 201877
3 201951
4 202138
5 201838
6 202025
7 202024
8 201924
9 202023
10 201823
11 202219
12 201716
13 202015
14 201914
15 201713
16 20219
17 20188
18 20228
19 20217
20 20197

About Xiaqing Ding

Xiaqing Ding is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Geology, Environmental Engineering and Electrical and Electronic Engineering, having authored 27 papers that have together received 541 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (27 papers), Advanced Image and Video Retrieval Techniques (9 papers), Advanced Vision and Imaging (9 papers), Robotic Path Planning Algorithms (8 papers), 3D Surveying and Cultural Heritage (7 papers), Indoor and Outdoor Localization Technologies (4 papers), Advanced Neural Network Applications (4 papers) and Remote Sensing and LiDAR Applications (4 papers). The work is most often cited by research in Geology (142 citations), Aerospace Engineering (446 citations), Computer Vision and Pattern Recognition (338 citations), Instrumentation (50 citations) and Environmental Engineering (115 citations). Xiaqing Ding has collaborated with scholars based in China and Australia. Frequent co-authors include Rong Xiong, Yue Wang, Li Tang, Huan Yin, Shoudong Huang, Bo Fu, Xuecheng Xu, Dongxuan Li, Xin Jing and Yue Wang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Instrumentation and Measurement, Sensors, IEEE Transactions on Industrial Electronics and Autonomous Robots.

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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