Chunjiang Ge

823 total citations · 1 hit paper
7 papers, 463 citations indexed

About

Chunjiang Ge is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Chunjiang Ge has authored 7 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Automotive Engineering. Recurrent topics in Chunjiang Ge's work include Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Human Mobility and Location-Based Analysis (1 paper). Chunjiang Ge is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Human Mobility and Location-Based Analysis (1 paper). Chunjiang Ge collaborates with scholars based in China, United Kingdom and Canada. Chunjiang Ge's co-authors include Gao Huang, Shiji Song, Rui Lü, Zeyi Huang, Xuran Pan, Guan-Fu Chen, Shuang Li, Zihang Lai, Shiji Song and Le Yang and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems and Science China Information Sciences.

In The Last Decade

Chunjiang Ge

7 papers receiving 451 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.

On the Integration of Self-Attention and Convolution

2022 329 citations Xuran Pan, Chunjiang Ge et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chunjiang Ge China	5	258	156	62	42	30	7	463
Sucheng Ren China	10	328 1.3×	145 0.9×	77 1.2×	50 1.2×	29 1.0×	18	498
Ali Hassani United States	2	306 1.2×	104 0.7×	93 1.5×	53 1.3×	19 0.6×	4	442
Yunyang Xiong United States	8	249 1.0×	128 0.8×	40 0.6×	45 1.1×	44 1.5×	16	479
Feifei Lee Japan	15	399 1.5×	174 1.1×	72 1.2×	41 1.0×	49 1.6×	70	619
Duo Li China	7	299 1.2×	106 0.7×	123 2.0×	50 1.2×	24 0.8×	11	485
Huimin Yu China	14	424 1.6×	94 0.6×	58 0.9×	53 1.3×	25 0.8×	59	590
Fayçal Hamdaoui Tunisia	8	228 0.9×	146 0.9×	57 0.9×	21 0.5×	62 2.1×	25	448

Countries citing papers authored by Chunjiang Ge

Since Specialization

Citations

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

Fields of papers citing papers by Chunjiang Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunjiang Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Chunjiang Ge. A scholar is included among the top collaborators of Chunjiang Ge 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 Chunjiang Ge. Chunjiang Ge 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.

Yang, Kai, et al.. (2024). Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model. 8941–8951. 8 indexed citations

2.

Zhang, Jianke, et al.. (2024). Cross-modal adapter for vision–language retrieval. Pattern Recognition. 159. 111144–111144. 3 indexed citations

3.

Ge, Chunjiang, Dongchen Han, Yizeng Han, et al.. (2024). Demystify Mamba in Vision: A Linear Attention Perspective. 127181–127203. 1 indexed citations

4.

Ge, Chunjiang, Shiji Song, & Gao Huang. (2023). Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 658–666. 14 indexed citations

5.

Ge, Chunjiang, et al.. (2023). Domain Adaptation via Prompt Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(1). 1160–1170. 92 indexed citations

6.

Pan, Xuran, Chunjiang Ge, Rui Lü, et al.. (2022). On the Integration of Self-Attention and Convolution. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 805–815. 329 indexed citations breakdown →

7.

Huang, Gao, Chunjiang Ge, Shiji Song, et al.. (2021). Large scale air pollution prediction with deep convolutional networks. Science China Information Sciences. 64(9). 16 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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