Anran Wang

1.2k citations
30 papers · 874 · h-index 14

Impact in

Papers in

Anran Wang

26 papers receiving 860 citations

Peers

Anran Wang
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 403
  • Automotive Engineering 85
  • Media Technology 62
  • Electrical and Electronic Engineering 393
  • Electronic, Optical and Magnetic Materials 112
Replace Seong Dae Kim with:
Seong Dae Kim South Korea
Ce Li China
Jiafeng Li China
Chung-Hsien Tsai Taiwan
Jihong Liu China
Ziyun Li United States
Zhe Lin United States
Guangyi Shi China
Anran Wang relative to Seong Dae Kim South Korea Seong Dae Kim's profile →
Citations per field
00.5×1.5×1.9×
Seong Dae Kim · 1×
Citations per year

Countries citing papers authored by Anran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Anran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020149
2 2015131
3 201594
4 201577
5 202071
6 202157
7 201653
8 201444
9 201436
10 201521
11 202218
12 202218
13
Token Labeling: Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet
202117
14 202017
15 202012
16 20189
17 20229
18 20198
19 20227
20 20187

About Anran Wang

Anran Wang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Media Technology, Aerospace Engineering and Artificial Intelligence, having authored 30 papers that have together received 874 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Advanced Neural Network Applications (6 papers), Perovskite Materials and Applications (4 papers), Advanced battery technologies research (4 papers), Human Pose and Action Recognition (3 papers), Advanced Optical Imaging Technologies (3 papers), Advanced Vision and Imaging (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (403 citations), Automotive Engineering (85 citations), Media Technology (62 citations), Electrical and Electronic Engineering (393 citations) and Electronic, Optical and Magnetic Materials (112 citations). Anran Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jianfei Cai, Tat‐Jen Cham, Jiwen Lu, Minfeng Chen, Aixiang Huang, Weijun Zhou, Xinwu Xu, Jizhang Chen, Gang Wang and Guobin Shen. Their work appears in journals such as Journal of Energy Chemistry, International Journal of Computer Vision, Atmospheric Research, ACM Transactions on Multimedia Computing Communications and Applications and Journal of Materials Chemistry A.

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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