Huaizu Jiang

4.2k total citations · 2 hit papers
27 papers, 2.1k citations indexed

About

Huaizu Jiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Huaizu Jiang has authored 27 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Huaizu Jiang's work include Advanced Image and Video Retrieval Techniques (9 papers), Advanced Vision and Imaging (8 papers) and Visual Attention and Saliency Detection (7 papers). Huaizu Jiang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Advanced Vision and Imaging (8 papers) and Visual Attention and Saliency Detection (7 papers). Huaizu Jiang collaborates with scholars based in United States, China and Mexico. Huaizu Jiang's co-authors include Jingdong Wang, Zejian Yuan, Nanning Zheng, Shipeng Li, Yang Wu, Erik Learned-Miller, Deqing Sun, Jan Kautz, Ming–Hsuan Yang and Ishan Misra and has published in prestigious journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision and Lecture notes in computer science.

In The Last Decade

Huaizu Jiang

25 papers receiving 2.1k citations

Hit Papers

Salient Object Detection: A Discriminative Regional Featu... 2013 2026 2017 2021 2013 2018 250 500 750

Peers

Huaizu Jiang
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 2.0k
  • Sensory Systems 395
  • Artificial Intelligence 248
  • Cognitive Neuroscience 245
  • Media Technology 216
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Citations per field, relative to Huaizu Jiang
Huaizu Jiang · 1×
Citations per year, relative to Huaizu Jiang
Huaizu Jiang · 1×

Countries citing papers authored by Huaizu Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Huaizu Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huaizu Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Huaizu Jiang. A scholar is included among the top collaborators of Huaizu 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 Huaizu Jiang. Huaizu 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 1
4 1
5 5
6 7
7 0
8 1
9 5
10 21
11 15
12 14
13
Half&Half: New Tasks and Benchmarks for Studying Visual Common Sense.
1
14 47
15 21
16
Self-Supervised Depth Learning for Urban Scene Understanding
1
17 11
18 5
19 344
20 7

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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