Naiyan Wang

18.0k citations
66 papers · 7.8k · 9 hit papers · h-index 36

Impact in

Papers in

Naiyan Wang

65 papers receiving 7.6k citations

Naiyan Wang's Hit Papers

QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection 2022 · 336 citations
3360+4+8Years since publication2505007501000

Peers

Naiyan Wang
Comparison fields: 5 of 166
  • Computer Vision and Pattern Recognition 5.4k
  • Computational Mathematics 47
  • Artificial Intelligence 2.2k
  • Media Technology 480
  • Information Systems 1.1k
Replace Xiangyang Xue with:
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Citations per field
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Xiangyang Xue · 1×
Citations per year

Countries citing papers authored by Naiyan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Naiyan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Collaborative Deep Learning for Recommender Systems
Hit paper breakdown →
20151181
2
Scale-Aware Trident Networks for Object Detection
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2019788
3
Learning a Deep Compact Image Representation for Visual Tracking
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2013661
4
Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training
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2020472
5
Adaptive Batch Normalization for practical domain adaptation
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2018405
6
Data-Driven Sparse Structure Selection for Deep Neural Networks
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2018382
7
Demystifying Neural Style Transfer
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2017348
8
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection
Hit paper breakdown →
2022336
9 2015256
10 2015244
11
RangeDet: In Defense of Range View for LiDAR-based 3D Object Detection
Hit paper breakdown →
2021194
12 2021190
13 2019179
14 2019164
15 2013157
16 2018141
17 2012130
18 2019120
19 202199
20 200886

About Naiyan Wang

Naiyan Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Materials Chemistry and Electrical and Electronic Engineering, having authored 66 papers that have together received 7.8k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (24 papers), Video Surveillance and Tracking Methods (17 papers), Advanced Image and Video Retrieval Techniques (16 papers), Human Pose and Action Recognition (10 papers), Domain Adaptation and Few-Shot Learning (9 papers), Advanced Vision and Imaging (9 papers), Robotics and Sensor-Based Localization (9 papers) and Autonomous Vehicle Technology and Safety (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.4k citations), Computational Mathematics (47 citations), Artificial Intelligence (2.2k citations), Media Technology (480 citations) and Information Systems (1.1k citations). Naiyan Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Dit‐Yan Yeung, Zhaoxiang Zhang, Hao Wang, Yanghao Li, Zehao Huang, Yuntao Chen, Xiaodi Hou, Jiaying Liu, Jianping Shi and Jingdong Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Materials Letters, Journal of Materials Science, IEEE Robotics and Automation Letters and International Journal of Computer Vision.

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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