Binfei Tu

772 total citations · 2 hit papers
7 papers, 523 citations indexed

About

Binfei Tu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Binfei Tu has authored 7 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Binfei Tu's work include Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Binfei Tu is often cited by papers focused on Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Binfei Tu collaborates with scholars based in China. Binfei Tu's co-authors include Chunbo Lang, Gong Cheng, Junwei Han, Junyi Wang and Chao Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Binfei Tu

7 papers receiving 521 citations

Hit Papers

align trajectories

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.

Learning What Not to Segment: A New Perspective on Few-Shot Segmentation

2022 193 citations Chunbo Lang, Gong Cheng et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
Base and Meta: A New Perspective on Few-Shot Segmentation

2023 107 citations Chunbo Lang, Gong Cheng et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Binfei Tu China	7	376	283	134	73	51	7	523
Zilin Gao China	5	407 1.1×	195 0.7×	92 0.7×	49 0.7×	37 0.7×	7	542
Amit Aides Israel	9	280 0.7×	232 0.8×	65 0.5×	58 0.8×	40 0.8×	14	496
Lukas Hoyer Switzerland	6	451 1.2×	409 1.4×	84 0.6×	68 0.9×	22 0.4×	12	630
Jianzhong He China	8	406 1.1×	250 0.9×	95 0.7×	68 0.9×	29 0.6×	10	585
Donggeun Yoo South Korea	8	592 1.6×	142 0.5×	136 1.0×	42 0.6×	34 0.7×	14	728
Jianxin Lin China	13	436 1.2×	182 0.6×	104 0.8×	39 0.5×	14 0.3×	40	665
Yuncong Feng China	12	242 0.6×	86 0.3×	159 1.2×	48 0.7×	27 0.5×	30	444
Ruipeng Zhang China	9	265 0.7×	289 1.0×	57 0.4×	55 0.8×	13 0.3×	12	483
Tao Gong China	7	253 0.7×	157 0.6×	53 0.4×	32 0.4×	77 1.5×	18	446

Countries citing papers authored by Binfei Tu

Since Specialization

Citations

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

Fields of papers citing papers by Binfei Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binfei Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Binfei Tu. A scholar is included among the top collaborators of Binfei Tu 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 Binfei Tu. Binfei Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Lang, Chunbo, Gong Cheng, Binfei Tu, & Junwei Han. (2023). Few-Shot Segmentation via Divide-and-Conquer Proxies. International Journal of Computer Vision. 132(1). 261–283. 60 indexed citations

2.

Lang, Chunbo, Junyi Wang, Gong Cheng, Binfei Tu, & Junwei Han. (2023). Progressive Parsing and Commonality Distillation for Few-Shot Remote Sensing Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–10. 56 indexed citations

3.

Lang, Chunbo, Gong Cheng, Binfei Tu, Chao Li, & Junwei Han. (2023). Retain and Recover: Delving Into Information Loss for Few-Shot Segmentation. IEEE Transactions on Image Processing. 32. 5353–5365. 19 indexed citations

4.

Lang, Chunbo, et al.. (2023). Base and Meta: A New Perspective on Few-Shot Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(9). 10669–10686. 107 indexed citations breakdown →

5.

Lang, Chunbo, Gong Cheng, Binfei Tu, & Junwei Han. (2023). Global Rectification and Decoupled Registration for Few-Shot Segmentation in Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–11. 38 indexed citations

6.

Lang, Chunbo, Binfei Tu, Gong Cheng, & Junwei Han. (2022). Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 1024–1030. 50 indexed citations

7.

Lang, Chunbo, Gong Cheng, Binfei Tu, & Junwei Han. (2022). Learning What Not to Segment: A New Perspective on Few-Shot Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8047–8057. 193 indexed citations breakdown →

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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