Songwei Ge

958 total citations
13 papers, 222 citations indexed

About

Songwei Ge is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Songwei Ge has authored 13 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Control and Systems Engineering. Recurrent topics in Songwei Ge's work include Multimodal Machine Learning Applications (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Video Analysis and Summarization (3 papers). Songwei Ge is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Video Analysis and Summarization (3 papers). Songwei Ge collaborates with scholars based in United States, China and Canada. Songwei Ge's co-authors include Jia‐Bin Huang, David R. Jacobs, Zhengbao Jiang, Jun-Yan Zhu, Jian‐Yun Nie, Zhicheng Dou, Ji-Rong Wen, Eric P. Xing, Taesung Park and Andrew Tao and has published in prestigious journals such as PLoS ONE, Journal of Computational Biology and Journal of Physics Conference Series.

In The Last Decade

Songwei Ge

11 papers receiving 215 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Songwei Ge United States	8	140	73	34	27	19	13	222
Jiaming Song China	4	81 0.6×	104 1.4×	11 0.3×	5 0.2×	12 0.6×	13	184
Curtis Wigington United States	9	217 1.6×	191 2.6×	11 0.3×	4 0.1×	5 0.3×	17	339
Shengqiong Wu China	12	75 0.5×	395 5.4×	35 1.0×	9 0.3×	18 0.9×	28	470
Gwanghyun Kim South Korea	3	227 1.6×	62 0.8×	3 0.1×	51 1.9×	2 0.1×	3	283
Romain Beaumont United States	2	136 1.0×	90 1.2×	7 0.2×	6 0.2×	6 0.3×	2	214
Huangjie Zheng China	7	78 0.6×	90 1.2×	24 0.7×	3 0.1×	3 0.2×	11	177
Aron Yu United States	3	213 1.5×	115 1.6×	8 0.2×	16 0.6×	3 0.2×	4	267
Vedanuj Goswami United States	7	421 3.0×	410 5.6×	15 0.4×	6 0.2×	11 0.6×	13	581
Weichong Yin China	5	195 1.4×	174 2.4×	12 0.4×	11 0.4×	5 0.3×	6	262

Countries citing papers authored by Songwei Ge

Since Specialization

Citations

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

Fields of papers citing papers by Songwei Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songwei Ge

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

13 of 13 papers shown

1.

Ge, Songwei. (2025). Creative Sketch Generation. International Conference on Learning Representations.

2.

Ge, Songwei, et al.. (2024). Grounded Text-to-Image Synthesis with Attention Refocusing. 7932–7942. 21 indexed citations

3.

Ge, Songwei, et al.. (2024). On the Content Bias in Fréchet Video Distance. 7277–7288. 3 indexed citations

4.

Ge, Songwei, et al.. (2023). An Average Speed of Sound Method for Underwater Positioning Based on Time of Arrival. Journal of Physics Conference Series. 2638(1). 12010–12010.

5.

Ge, Songwei, et al.. (2023). Hyperbolic Contrastive Learning for Visual Representations beyond Objects. 6840–6849. 24 indexed citations

6.

Ge, Songwei, Taesung Park, Jun-Yan Zhu, & Jia‐Bin Huang. (2023). Expressive Text-to-Image Generation with Rich Text. 7511–7522. 29 indexed citations

7.

Ge, Songwei, Seungjun Nah, Guilin Liu, et al.. (2023). Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. 22873–22884. 60 indexed citations

8.

Ge, Songwei, et al.. (2021). Shift Invariance Can Reduce Adversarial Robustness. Neural Information Processing Systems. 34. 2 indexed citations

9.

Ge, Songwei, Haohan Wang, Amir Alavi, Eric P. Xing, & Ziv Bar‐Joseph. (2021). Supervised Adversarial Alignment of Single-Cell RNA-seq Data. Journal of Computational Biology. 28(5). 501–513. 17 indexed citations

10.

Wang, Haohan, Songwei Ge, Zachary C. Lipton, & Eric P. Xing. (2019). Learning Robust Global Representations by Penalizing Local Predictive Power. Neural Information Processing Systems. 32. 10506–10518. 16 indexed citations

11.

Ge, Songwei, et al.. (2019). From Text to Sound. 865–868. 1 indexed citations

12.

Wu, Xiaojun, et al.. (2018). A computational strategy for finding novel targets and therapeutic compounds for opioid dependence. PLoS ONE. 13(11). e0207027–e0207027. 10 indexed citations

13.

Ge, Songwei, Zhicheng Dou, Zhengbao Jiang, Jian‐Yun Nie, & Ji-Rong Wen. (2018). Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. 347–356. 39 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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