Hao Tian

714 total citations · 1 hit paper
33 papers, 347 citations indexed

About

Hao Tian is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Media Technology. According to data from OpenAlex, Hao Tian has authored 33 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 papers in Plant Science and 4 papers in Media Technology. Recurrent topics in Hao Tian's work include Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Neural Network Applications (3 papers) and Plant Micronutrient Interactions and Effects (3 papers). Hao Tian is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Neural Network Applications (3 papers) and Plant Micronutrient Interactions and Effects (3 papers). Hao Tian collaborates with scholars based in China, Hong Kong and Estonia. Hao Tian's co-authors include Yu Qiao, Jie Zhou, Zhaoxiang Zhang, Chenyu Yang, Yuntao Chen, Lewei Lu, Hongyang Li, Chenxin Tao, Jifeng Dai and Gao Huang and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

Hao Tian

27 papers receiving 332 citations

Hit Papers

BEVFormer v2: Adapting Modern Image Backbones to Bird's-E... 2023 2026 2024 2025 2023 40 80 120

Peers

Hao Tian
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 187
  • Aerospace Engineering 63
  • Artificial Intelligence 32
  • Plant Science 30
  • Industrial and Manufacturing Engineering 26
Replace Yubo Zhang with:
Yubo Zhang China
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Sinan Onur Altinuc Italy
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Yubo Zhang China View profile →
Citations per field, relative to Hao Tian
Hao Tian · 1×
Citations per year, relative to Hao Tian
Hao Tian · 1×

Countries citing papers authored by Hao Tian

Since Specialization
Citations

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

Fields of papers citing papers by Hao Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Tian. A scholar is included among the top collaborators of Hao Tian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hao Tian. Hao Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 0
5 4
6 2
7 8
8 2
9 1
10 1
11 2
12 18
13 12
14 6
15 8
16
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision breakdown →
147
17 5
18 4
19 1
20 9

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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