Naiyan Wang

17.7k citations
62 papers · 6.1k indexed · 5 hit papers · h-index 32

Impact in

Papers in

Naiyan Wang

61 papers receiving 5.9k citations

Hit Papers

QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection 2022 · 305 citations
30520132026201720212505007501000

Peers

Naiyan Wang
Comparison fields: 5 of 162
  • Computer Vision and Pattern Recognition 4.1k
  • Computational Mathematics 35
  • Artificial Intelligence 1.7k
  • Information Systems 927
  • Media Technology 345
Replace Yong Xu with:
Yong Xu China
Qi Tian China
Mingliang Xu China
Jianke Zhu China
Xin Ning China
Baocai Yin China
Qinfeng Shi Australia
Yu–Gang Jiang China
Jianping Fan China
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Naiyan Wang relative to Yong Xu China Yong Xu's profile →
Citations per field
00.5×1.5×2.5×
Yong Xu · 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-authorship network

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
#Work
1 20251
2 20241
3 20242
4 20241
5 202418
6 20247
7 202322
8 202334
9 20225
10
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition
20197
11 2019111
12 2019153
13
Revisiting Batch Normalization For Practical Domain Adaptation
201623
14
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data
201466
15
Learning a Deep Compact Image Representation for Visual Tracking
Hit paper breakdown →
2013603
16 201351
17
SCMF: sparse covariance matrix factorization for collaborative filtering
20138
18 201215
19 201260
20 20106

About Naiyan Wang

Naiyan Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Automotive Engineering and Aerospace Engineering, having authored 62 papers that have together received 6.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (22 papers), Video Surveillance and Tracking Methods (16 papers), Advanced Image and Video Retrieval Techniques (15 papers), Human Pose and Action Recognition (9 papers), Robotics and Sensor-Based Localization (9 papers), Advanced Vision and Imaging (8 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Autonomous Vehicle Technology and Safety (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.1k citations), Computational Mathematics (35 citations), Artificial Intelligence (1.7k citations), Information Systems (927 citations) and Media Technology (345 citations). Naiyan Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Dit‐Yan Yeung, Zhaoxiang Zhang, Yanghao Li, Hao Wang, Yuntao Chen, Jiaying Liu, Xiaodi Hou, Zehao Huang, Jianping Shi and Chenhongyi Yang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Materials Science, Materials Letters, IEEE Robotics and Automation Letters and Electrochimica Acta.

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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