Qi Bi

1.6k total citations · 1 hit paper
35 papers, 960 citations indexed

About

Qi Bi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Qi Bi has authored 35 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 13 papers in Media Technology and 7 papers in Artificial Intelligence. Recurrent topics in Qi Bi's work include Advanced Image and Video Retrieval Techniques (18 papers), Remote-Sensing Image Classification (10 papers) and Advanced Neural Network Applications (7 papers). Qi Bi is often cited by papers focused on Advanced Image and Video Retrieval Techniques (18 papers), Remote-Sensing Image Classification (10 papers) and Advanced Neural Network Applications (7 papers). Qi Bi collaborates with scholars based in China, United States and Netherlands. Qi Bi's co-authors include Kun Qin, Wei Ji, Li Cheng, Han Zhang, Kai Xu, Jingjing Li, Yefeng Zheng, Shuang Yu, Kai Ma and Gui-Song Xia and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Communications Magazine.

In The Last Decade

Qi Bi

31 papers receiving 945 citations

Hit Papers

Segment Anything Is Not Always Perfect: An Investigation ... 2024 2026 2025 2024 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications
    2024 96 citations Wei Ji, Jingjing Li et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qi Bi China 17 650 352 177 142 99 35 960
Baodi Liu China 18 670 1.0× 416 1.2× 438 2.5× 137 1.0× 74 0.7× 161 1.2k
Hong Huo China 17 479 0.7× 489 1.4× 129 0.7× 184 1.3× 40 0.4× 84 903
Panqu Wang United States 3 895 1.4× 280 0.8× 299 1.7× 60 0.4× 149 1.5× 6 1.4k
Nassim Ammour Saudi Arabia 14 410 0.6× 323 0.9× 195 1.1× 111 0.8× 43 0.4× 33 919
Yiquan Wu China 14 757 1.2× 301 0.9× 223 1.3× 55 0.4× 89 0.9× 50 1.3k
Badri Narayan Subudhi India 18 563 0.9× 232 0.7× 159 0.9× 78 0.5× 50 0.5× 78 864
İlkay Ulusoy Türkiye 14 387 0.6× 231 0.7× 210 1.2× 95 0.7× 33 0.3× 67 921
Xiangtai Li China 18 936 1.4× 263 0.7× 347 2.0× 74 0.5× 70 0.7× 58 1.6k
Hisham Cholakkal United Arab Emirates 20 996 1.5× 324 0.9× 445 2.5× 109 0.8× 63 0.6× 55 1.5k
Shiming Xiang China 7 668 1.0× 363 1.0× 261 1.5× 101 0.7× 18 0.2× 14 1.0k

Countries citing papers authored by Qi Bi

Since Specialization
Citations

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

Fields of papers citing papers by Qi Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Bi. A scholar is included among the top collaborators of Qi Bi 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 Qi Bi. Qi Bi 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
1.
Bi, Qi, et al.. (2025). GOOD: Towards domain generalized oriented object detection. ISPRS Journal of Photogrammetry and Remote Sensing. 223. 207–220. 1 indexed citations
2.
Bi, Qi, Hao Zheng, Yawen Huang, et al.. (2025). GAD: Domain generalized diabetic retinopathy grading by grade-aware de-stylization. Pattern Recognition. 164. 111484–111484.
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Bi, Qi, et al.. (2025). Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination. Proceedings of the AAAI Conference on Artificial Intelligence. 39(2). 1853–1861. 1 indexed citations
6.
Bi, Qi, et al.. (2025). Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization. IEEE Transactions on Image Processing. 34. 2954–2969. 1 indexed citations
7.
Ji, Wei, et al.. (2024). Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications. 21(4). 617–630. 96 indexed citations breakdown →
8.
Bi, Qi, Hao Zheng, Wei Ji, et al.. (2024). Learning Generalized Medical Image Segmentation from Decoupled Feature Queries. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 810–818. 16 indexed citations
9.
Bi, Qi, Shaodi You, & Theo Gevers. (2024). Generalized Foggy-Scene Semantic Segmentation by Frequency Decoupling. UvA-DARE (University of Amsterdam). 1389–1399. 4 indexed citations
10.
Bi, Qi, Shaodi You, & Theo Gevers. (2024). Learning Generalized Segmentation for Foggy-Scenes by Bi-directional Wavelet Guidance. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 801–809. 14 indexed citations
11.
Bi, Qi, Shaodi You, & Theo Gevers. (2024). Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 819–827. 22 indexed citations
12.
Bi, Qi, Yawen Huang, Wei Ji, et al.. (2024). Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation. 94047–94072. 1 indexed citations
13.
Bi, Qi, Xu Sun, Shuang Yu, et al.. (2023). MIL-ViT: A multiple instance vision transformer for fundus image classification. Journal of Visual Communication and Image Representation. 97. 103956–103956. 23 indexed citations
14.
Li, Jingjing, Wei Ji, Qi Bi, et al.. (2021). Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection. Neural Information Processing Systems. 34. 16 indexed citations
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Ji, Wei, Jingjing Li, Shuang Yu, et al.. (2021). Calibrated RGB-D Salient Object Detection. 9466–9476. 190 indexed citations
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Bi, Qi, et al.. (2019). A Multi-Scale Filtering Building Index for Building Extraction in Very High-Resolution Satellite Imagery. Remote Sensing. 11(5). 482–482. 40 indexed citations
19.
Zhao, Kai, et al.. (2015). Reduced near border set for endmember extraction. Optik. 126(23). 4424–4431. 2 indexed citations
20.
Lu, W.W. & Qi Bi. (1999). Wireless mobile ATM technologies for third generation wireless communications. IEEE Communications Magazine. 37(11). 36–36. 2 indexed citations

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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