Xiaohan Ding

4.9k citations
18 papers · 3.0k · 3 hit papers · h-index 10

Impact in

Papers in

    • Advanced Neural Network Applications 11
    • Human Pose and Action Recognition 4
    • Multimodal Machine Learning Applications 3
    • Advanced Image and Video Retrieval Techniques 2
    • Domain Adaptation and Few-Shot Learning 8
    • Adversarial Robustness in Machine Learning 3
    • Anomaly Detection Techniques and Applications 2

Xiaohan Ding

17 papers receiving 2.9k citations

Xiaohan Ding's Hit Papers

RepVGG: Making VGG-style ConvNets Great Again 2021 · 1.6k citations
1.6k0+2+4Years since publication50010001.5k

Peers

Xiaohan Ding
Comparison fields: 5 of 127
  • Computer Vision and Pattern Recognition 1.9k
  • Media Technology 413
  • Industrial and Manufacturing Engineering 279
  • Artificial Intelligence 782
  • Computational Mathematics 9
Replace Zhuliang Yao with:
Zhuliang Yao China
Zhiqiang Shen United States
Zhaowei Cai United States
Xuguang Lan China
Zhixi Feng China
Zehuan Yuan China
Anton Milan Australia
Wayne Zhang China
Mengchen Liu United States
Kaiwen Duan China
Xiaohan Ding relative to Zhuliang Yao China Zhuliang Yao's profile →
Citations per field
00.5×1.5×2.1×
Zhuliang Yao · 1×
Citations per year

Countries citing papers authored by Xiaohan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
RepVGG: Making VGG-style ConvNets Great Again
Hit paper breakdown →
20211641
2
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Hit paper breakdown →
2019562
3
Diverse Branch Block: Building a Convolution as an Inception-like Unit
Hit paper breakdown →
2021315
4 2019134
5 2021127
6 201876
7 202255
8 201927
9 201912
10 202310
11 20249
12 20217
13 20244
14 20252
15 20252
16 20241
17 20201
18 20200

About Xiaohan Ding

Xiaohan Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Media Technology and Mechanical Engineering, having authored 18 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (11 papers), Domain Adaptation and Few-Shot Learning (8 papers), Human Pose and Action Recognition (4 papers), Multimodal Machine Learning Applications (3 papers), Adversarial Robustness in Machine Learning (3 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Industrial Gas Emission Control (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Media Technology (413 citations), Industrial and Manufacturing Engineering (279 citations), Artificial Intelligence (782 citations) and Computational Mathematics (9 citations). Xiaohan Ding has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Guiguang Ding, Jungong Han, Xiangyu Zhang, Jian Sun, Ningning Ma, Yuchen Guo, Sheng Tang, Jianchao Tan, Honghao Chen and Chenggang Yan. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Materials Letters, Lecture notes in computer science, E3S Web of Conferences and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

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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