Xiaolong Jiang

1.8k citations
30 papers · 655 indexed · h-index 11

Xiaolong Jiang

28 papers receiving 649 citations

Peers

Xiaolong Jiang
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 522
  • Safety, Risk, Reliability and Quality 78
  • Artificial Intelligence 264
  • Media Technology 68
  • Transportation 43
Replace Zhengkai Jiang with:
Zhengkai Jiang China
Qingyu Song China
Tao Zhao China
Liangchen Song United States
Ajay J. Joshi United States
Weijian Deng Australia
Guofeng Zou China
De Cheng China
Hong-Xing Yu China
Xiaolong Jiang relative to Zhengkai Jiang China Zhengkai Jiang's profile →
Citations per field
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Zhengkai Jiang · 1×
Citations per year

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

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202410
4 20241
5 20242
6 20241
7 20246
8 20231
9 202339
10 202318
11 202129
12 202113
13 20213
14 20204
15 2019261
16 201916
17 20192
18
Deep Collaborative Tracking Networks.
20184
19 201610
20 20146

About Xiaolong Jiang

Xiaolong Jiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 30 papers that have together received 655 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (10 papers), Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (7 papers), Advanced Image and Video Retrieval Techniques (5 papers), Visual Attention and Saliency Detection (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Advanced Image Processing Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (522 citations), Safety, Risk, Reliability and Quality (78 citations) and Artificial Intelligence (264 citations). Xiaolong Jiang has collaborated with scholars based in China, United States and United Arab Emirates. Frequent co-authors include Xianbin Cao, Baochang Zhang, Xiantong Zhen, Zehao Xiao, David Doermann, Ling Shao, Yao Hu, Haochen Wang, Song Bai and Haibing Ren. Their work appears in journals such as Chemical Communications, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Computer Vision.

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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