Zhongang Qi

4.0k citations
39 papers · 2.1k indexed · 3 hit papers · h-index 14
Topics
Advanced Image and Video Retrieval Techniques (12 papers)Multimodal Machine Learning Applications (11 papers)Video Analysis and Summarization (9 papers)

In The Last Decade

Zhongang Qi

36 papers receiving 2.0k citations

Hit Papers

PointConv: Deep Convolutional Networks on 3D Point Clouds20192026202120232019202420232505007501000

Peers

Zhongang Qi
Comparison fields: 5 of 105
  • Computer Vision and Pattern Recognition 983
  • Computational Mechanics 870
  • Geology 622
  • Environmental Engineering 595
  • Computer Graphics and Computer-Aided Design 374
Replace Amir Zamir with:
Amir Zamir United States
Wen Zheng China
Paul Merrell United States
Enrico Puppo Italy
Xiangyu Yue United States
Qian-Yi Zhou United States
Linhai Xie China
Ozan Şener United States
Huan Yang China
Jun Sun China
Zhongang Qi relative to Amir Zamir United States Amir Zamir's profile →
Citations per field
00.5×1.5×1.8×
Amir Zamir · 1×
Citations per year

Countries citing papers authored by Zhongang Qi

Since Specialization
Citations

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

Fields of papers citing papers by Zhongang Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongang Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongang Qi. A scholar is included among the top collaborators of Zhongang Qi 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 Zhongang Qi. Zhongang Qi 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
#WorkIndexed citations
1 2
2 3
3 32
4 5
5
T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Modelsbreakdown →
259
6 2
7 1
8 1
9 8
10 16
11 1
12 1
13 60
14 0
15 0
16 24
17 4
18 5
19 16
20 6

About Zhongang Qi

Zhongang Qi is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (12 papers), Multimodal Machine Learning Applications (11 papers) and Video Analysis and Summarization (9 papers). The work is most often cited by research in Geology (622 citations), Computer Graphics and Computer-Aided Design (374 citations) and Computer Vision and Pattern Recognition (983 citations). Zhongang Qi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fuxin Li, Wenxuan Wu, Ying Shan, Xintao Wang, Xi Li, Zhongfei Zhang, Liangbin Xie, Chong Mou, Yanze Wu and Jian Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence 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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