Chang Huang

19.1k citations
152 papers · 9.5k indexed · 5 hit papers · h-index 45
Topics
Flood Risk Assessment and Management (35 papers)Advanced Image and Video Retrieval Techniques (22 papers)Hydrology and Watershed Management Studies (20 papers)

In The Last Decade

Chang Huang

140 papers receiving 9.2k citations

Hit Papers

CCNet: Criss-Cross Attention for S...20092026201420202019201920182009202450010001.5k

Peers

Chang Huang
Comparison fields: 5 of 188
  • Computer Vision and Pattern Recognition 4.8k
  • Global and Planetary Change 2.7k
  • Artificial Intelligence 1.6k
  • Environmental Engineering 1.2k
  • Media Technology 990
Replace Pierre Soille with:
Pierre Soille Italy
Zhenfeng Shao China
Deren Li China
Xiaodong Li China
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Chang Huang relative to Pierre Soille Italy Pierre Soille's profile →
Citations per field
00.5×3.1×
Pierre Soille · 1×
Citations per year

Countries citing papers authored by Chang Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chang Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Huang. A scholar is included among the top collaborators of Chang Huang 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 Chang Huang. Chang Huang 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
#WorkIndexed citations
1 6
2 1
3 1
4 0
5 1
6 1
7 2
8 9
9 3
10 20
11 7
12
Mask Scoring R-CNNbreakdown →
714
13 43
14 128
15 62
16 66
17
Learning to associate: HybridBoosted multi-target tracker for crowded scenebreakdown →
431
18
GEOLOGICAL DISASTERS AND THE COUPLING OF THE CLIMATIC FLUCTUATION IN CHINA
1
19 1
20
Sporadic E(E_S) communication in summer
0

About Chang Huang

Chang Huang is a scholar working on Global and Planetary Change, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 152 papers that have together received 9.5k indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (35 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Hydrology and Watershed Management Studies (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.8k citations), Global and Planetary Change (2.7k citations) and Media Technology (990 citations). Chang Huang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xinggang Wang, Lichao Huang, Yun Chen, Jianping Wu, Wenyu Liu, Yunchao Wei, Zilong Huang, Kaifang Shi, Ram Nevatia and Bailang Yu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Science of The Total Environment and Remote Sensing of Environment.

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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