Xiaolong Jiang

1.8k total citations
30 papers, 655 citations indexed

About

Xiaolong Jiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Xiaolong Jiang has authored 30 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Xiaolong Jiang's work include Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (10 papers) and Multimodal Machine Learning Applications (7 papers). Xiaolong Jiang is often cited by papers focused on Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (10 papers) and Multimodal Machine Learning Applications (7 papers). Xiaolong Jiang collaborates with scholars based in China, United States and United Arab Emirates. Xiaolong Jiang's co-authors include Xianbin Cao, Baochang Zhang, Xiantong Zhen, Zehao Xiao, David Doermann, Ling Shao, Yao Hu, Haochen Wang, Song Bai and Haibing Ren and has published in prestigious journals such as Chemical Communications, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Computer Vision.

In The Last Decade

Xiaolong Jiang

28 papers receiving 649 citations

Peers

Xiaolong Jiang
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 522
  • Artificial Intelligence 264
  • Safety, Risk, Reliability and Quality 78
  • Media Technology 68
  • Transportation 43
Replace Zhengkai Jiang with:
Zhengkai Jiang China
Jack Sim United States
Qingyu Song China
Tao Zhao China
Tobias Senst Germany
Guofeng Zou China
Liangchen Song United States
De Cheng China
Ajay J. Joshi United States
Zhengkai Jiang China View profile →
Citations per field, relative to Xiaolong Jiang
Xiaolong Jiang · 1×
Citations per year, relative to Xiaolong Jiang
Xiaolong Jiang · 1×

Countries citing papers authored by Xiaolong Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolong Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolong Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolong Jiang. A scholar is included among the top collaborators of Xiaolong Jiang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaolong Jiang. Xiaolong Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 10
4 1
5 2
6 1
7 6
8 1
9 39
10 18
11 29
12 13
13 3
14 4
15 261
16 16
17 2
18
Deep Collaborative Tracking Networks.
4
19 10
20 6

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026