Anran Wang

1.2k citations
26 papers · 784 · h-index 13

Impact in

Papers in

Anran Wang

23 papers receiving 770 citations

Peers

Anran Wang
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 335
  • Automotive Engineering 82
  • Electrical and Electronic Engineering 380
  • Media Technology 57
  • Electronic, Optical and Magnetic Materials 112
Replace Seong Dae Kim with:
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Anran Wang relative to Seong Dae Kim South Korea Seong Dae Kim's profile →
Citations per field
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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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020144
2 2015124
3 201593
4 201573
5 202068
6 202156
7 201648
8 201444
9 201519
10 202218
11
Token Labeling: Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet
202117
12 202016
13 202012
14 20229
15 20188
16 20198
17 20187
18 20226
19 20234
20 20184

About Anran Wang

Anran Wang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Aerospace Engineering, Media Technology and Materials Chemistry, having authored 26 papers that have together received 784 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Perovskite Materials and Applications (4 papers), Advanced battery technologies research (4 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Optical Imaging Technologies (3 papers), Advanced Steganography and Watermarking Techniques (2 papers) and Advanced Battery Technologies Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (335 citations), Automotive Engineering (82 citations), Electrical and Electronic Engineering (380 citations), Media Technology (57 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 Jiwen Lu, Tat‐Jen Cham, Jianfei Cai, Weijun Zhou, Xinwu Xu, Aixiang Huang, Jizhang Chen, Minfeng Chen, Gang Wang and Bing Zeng. Their work appears in journals such as Journal of Energy Chemistry, Journal of Colloid and Interface Science, Astrodynamics, IEEE Transactions on Image Processing and Science Bulletin.

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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