Hanzi Mao

16.3k citations
8 papers · 7.8k indexed · 2 hit papers · h-index 5

Impact in

    • Advanced Neural Network Applications
    • Advanced Image and Video Retrieval Techniques
    • Video Surveillance and Tracking Methods
    • Multimodal Machine Learning Applications
    • Remote-Sensing Image Classification

Papers in

Hanzi Mao

7 papers receiving 7.6k citations

Hit Papers

Segment Anything 2023 · 4.0k citations
4.0k202220262023202410002.0k3.0k4.0k

Peers

Hanzi Mao
Comparison fields: 5 of 195
  • Computer Vision and Pattern Recognition 3.8k
  • Media Technology 869
  • Artificial Intelligence 1.9k
  • Computer Graphics and Computer-Aided Design 151
  • Health Informatics 56
Replace Tsung-Yi Lin with:
Tsung-Yi Lin United States
Tete Xiao United States
Song Bai China
Yanwei Fu China
Lingxi Xie China
Linda G. Shapiro United States
Li Shen China
Mingkui Tan China
Samuel Albanie United Kingdom
Hanzi Mao relative to Tsung-Yi Lin United States Tsung-Yi Lin's profile →
Citations per field
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Tsung-Yi Lin · 1×
Citations per year

Countries citing papers authored by Hanzi Mao

Since Specialization
Citations

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

Fields of papers citing papers by Hanzi Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 20240
2
Segment Anything
Hit paper breakdown →
20234021
3
A ConvNet for the 2020s
Hit paper breakdown →
20223721
4 20205
5 201951
6 20179
7 20142
8 20142

About Hanzi Mao

Hanzi Mao is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Media Technology, Environmental Engineering and Artificial Intelligence, having authored 8 papers that have together received 7.8k indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (3 papers), Image and Video Quality Assessment (3 papers), Caching and Content Delivery (3 papers), Advanced Neural Network Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Soil Moisture and Remote Sensing (1 paper), Cryospheric studies and observations (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (3.8k citations), Media Technology (869 citations), Artificial Intelligence (1.9k citations), Computer Graphics and Computer-Aided Design (151 citations) and Health Informatics (56 citations). Hanzi Mao has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Zhuang Liu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie, Chao-Yuan Wu, Piotr Dollár, Alexander C. Berg, Laura Gustafson, Tete Xiao and Alexander M. Kirillov. Their work appears in journals such as Water Resources Research, IEEE Access, International Journal of Web Services Research and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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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