Ximeng Sun

613 total citations
11 papers, 142 citations indexed

About

Ximeng Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Software. According to data from OpenAlex, Ximeng Sun has authored 11 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Software. Recurrent topics in Ximeng Sun's work include Human Pose and Action Recognition (5 papers), Advanced Vision and Imaging (4 papers) and Multimodal Machine Learning Applications (4 papers). Ximeng Sun is often cited by papers focused on Human Pose and Action Recognition (5 papers), Advanced Vision and Imaging (4 papers) and Multimodal Machine Learning Applications (4 papers). Ximeng Sun collaborates with scholars based in United States, China and Canada. Ximeng Sun's co-authors include Kate Saenko, Rameswar Panda, Rogério Feris, Aude Oliva, Chun-Fu Richard Chen, Hans Vangheluwe, Jörg Kienzle, Sadaf Mustafiz, Quanfu Fan and Huijuan Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Software & Systems Modeling and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Ximeng Sun

11 papers receiving 136 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ximeng Sun United States	7	84	55	22	16	11	11	142
Peter C. Dillinger United States	5	24 0.3×	47 0.9×	30 1.4×	16 1.0×	18 1.6×	12	104
David Tolpin Israel	6	54 0.6×	81 1.5×	11 0.5×	32 2.0×	5 0.5×	10	130
Richard Shin United States	7	66 0.8×	143 2.6×	23 1.0×	15 0.9×	68 6.2×	12	199
Daniel J. Fremont United States	6	14 0.2×	68 1.2×	31 1.4×	15 0.9×	13 1.2×	10	118
Deli Yu China	3	186 2.2×	79 1.4×	12 0.5×	6 0.4×	31 2.8×	5	236
Tobias Kirschstein Germany	7	103 1.2×	36 0.7×	10 0.5×	7 0.4×	37 3.4×	8	176
Jonathan Uesato United States	6	43 0.5×	148 2.7×	19 0.9×	5 0.3×	24 2.2×	7	170
Ning Jiang China	9	210 2.5×	96 1.7×	3 0.1×	19 1.2×	24 2.2×	40	271
Bohua Zhan China	6	22 0.3×	35 0.6×	18 0.8×	28 1.8×	10 0.9×	22	102

Countries citing papers authored by Ximeng Sun

Since Specialization

Citations

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

Fields of papers citing papers by Ximeng Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ximeng Sun

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

11 of 11 papers shown

1.

Sun, Ximeng, et al.. (2024). Koala: Key Frame-Conditioned Long Video-LLM. 13581–13591. 4 indexed citations

2.

Sun, Ximeng, Rameswar Panda, Chun-Fu Richard Chen, et al.. (2024). Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. 946–956. 2 indexed citations

3.

Hu, Ping, et al.. (2023). DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition With Limited Annotations. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 3450–3462. 8 indexed citations

4.

Sun, Ximeng, Rameswar Panda, Chun-Fu Richard Chen, et al.. (2021). Dynamic Network Quantization for Efficient Video Inference. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7355–7365. 31 indexed citations

5.

Panda, Rameswar, Chun-Fu Richard Chen, Quanfu Fan, et al.. (2021). AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7556–7565. 30 indexed citations

6.

Sun, Ximeng, Huijuan Xu, & Kate Saenko. (2020). TwoStreamVAN: Improving Motion Modeling in Video Generation. 2733–2742. 9 indexed citations

7.

Sun, Ximeng, Rameswar Panda, Rogério Feris, & Kate Saenko. (2019). AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning. arXiv (Cornell University). 9 indexed citations

8.

Sun, Ximeng, et al.. (2019). A Temporally-Aware Interpolation Network for Video Frame Inpainting. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(5). 1053–1068. 16 indexed citations

9.

Sun, Ximeng, Huijuan Xu, & Kate Saenko. (2018). A Two-Stream Variational Adversarial Network for Video Generation.. arXiv (Cornell University). 4 indexed citations

10.

Mustafiz, Sadaf, Ximeng Sun, Jörg Kienzle, & Hans Vangheluwe. (2008). Model-driven assessment of system dependability. Software & Systems Modeling. 7(4). 487–502. 23 indexed citations

11.

Vangheluwe, Hans, et al.. (2007). DOMAIN-SPECIFIC MODELLING WITH ATOM. 305–314. 6 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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