Zilong Huang

7.2k citations
27 papers · 4.0k indexed · 5 hit papers · h-index 15

Zilong Huang

24 papers receiving 3.9k citations

Hit Papers

Depth Anything: Unle...292201820262020202350010001.5k

Peers

Zilong Huang
Comparison fields: 5 of 139
  • Computer Vision and Pattern Recognition 2.9k
  • Media Technology 666
  • Artificial Intelligence 1.1k
  • Industrial and Manufacturing Engineering 204
  • Environmental Engineering 228
Replace Yadong Mu with:
Yadong Mu China
Yang Zhao China
Guodong Zhang China
Tianheng Cheng China
Toby P. Breckon United Kingdom
Yuwen Xiong Canada
Hang Zhang China
Haozhi Qi United States
S. M. Ali Eslami United Kingdom
Lichao Huang China
Zilong Huang relative to Yadong Mu China Yadong Mu's profile →
Citations per field
00.5×1.6×
Yadong Mu · 1×
Citations per year

Countries citing papers authored by Zilong Huang

Since Specialization
Citations

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

Fields of papers citing papers by Zilong Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20241
5 20242
6
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Databreakdown →
2024292
7 20242
8
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentationbreakdown →
2022219
9 20222
10 202123
11 2021135
12 20214
13 202120
14 20200
15 2020139
16
CCNet: Criss-Cross Attention for Semantic Segmentationbreakdown →
20191941
17 201921
18
Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growingbreakdown →
2018394
19 201713
20 20154

About Zilong Huang

Zilong Huang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 27 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (11 papers), Advanced Image and Video Retrieval Techniques (7 papers), Video Surveillance and Tracking Methods (6 papers), Visual Attention and Saliency Detection (4 papers), Image Enhancement Techniques (4 papers), Multimodal Machine Learning Applications (4 papers), Advanced Vision and Imaging (3 papers) and Topic Modeling (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Media Technology (666 citations) and Artificial Intelligence (1.1k citations). Zilong Huang has collaborated with scholars based in China, United States and Jamaica. Frequent co-authors include Xinggang Wang, Wenyu Liu, Yunchao Wei, Lichao Huang, Chang Huang, Humphrey Shi, Thomas S. Huang, Jingdong Wang, Jiasi Wang and Xiaogang Xu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Visual Computer, Cement and Concrete Research, IEEE Transactions on Image Processing and Computer Methods and Programs in Biomedicine.

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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