X. X. Ding

865 citations
48 papers · 655 · h-index 16

Impact in

Papers in

X. X. Ding

46 papers receiving 640 citations

Peers

X. X. Ding
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 201
  • Transportation 60
  • Signal Processing 84
  • Information Systems 149
  • Artificial Intelligence 194
Replace Carole Dulong with:
Carole Dulong United States
Zhiguang Zhou China
Yifang Yin Singapore
Laura Ruotsalainen Finland
Harish Doraiswamy United States
Marjan Alirezaie Sweden
Kyungmi Lee Australia
Yihong Yang China
X. X. Ding relative to Carole Dulong United States Carole Dulong's profile →
Citations per field
00.5×4.3×
Carole Dulong · 1×
Citations per year

Countries citing papers authored by X. X. Ding

Since Specialization
Citations

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

Fields of papers citing papers by X. X. Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201790
2 201562
3 201452
4 201040
5 202138
6 202337
7 201933
8 201829
9 201327
10 201427
11 201620
12 201019
13 201817
14 201116
15 202216
16 202015
17 202013
18 201912
19 202110
20 20248

About X. X. Ding

X. X. Ding is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Signal Processing, having authored 48 papers that have together received 655 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (12 papers), Advanced Image and Video Retrieval Techniques (6 papers), RFID technology advancements (5 papers), Cryptography and Data Security (4 papers), Blockchain Technology Applications and Security (4 papers), Privacy-Preserving Technologies in Data (4 papers), Video Surveillance and Tracking Methods (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (201 citations), Transportation (60 citations), Signal Processing (84 citations), Information Systems (149 citations) and Artificial Intelligence (194 citations). X. X. Ding has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lan Zhang, Xiang‐Yang Li, Hongchao Fan, Yunhao Liu, Taeho Jung, Zhiguo Wan, Ming Gu, Lei Yang, Kebin Liu and Lan Zhang. Their work appears in journals such as IEEE Transactions on Mobile Computing, ISPRS International Journal of Geo-Information, Remote Sensing, IEEE Internet of Things Journal and ACM Transactions on Sensor Networks.

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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