Mengde Xu

1.1k total citations · 2 hit papers
7 papers, 484 citations indexed

About

Mengde Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Urban Studies. According to data from OpenAlex, Mengde Xu has authored 7 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Urban Studies. Recurrent topics in Mengde Xu's work include Multimodal Machine Learning Applications (2 papers), Advanced Neural Network Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Mengde Xu is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Advanced Neural Network Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Mengde Xu collaborates with scholars based in China, United Kingdom and United States. Mengde Xu's co-authors include Xiang Bai, Fangyun Wei, Zheng Zhang, Han Hu, Jianfeng Wang, Zicheng Liu, Lijuan Wang, Hanping Hu, Wenqing Cheng and Zhen Zhu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Physics Conference Series and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Mengde Xu

6 papers receiving 467 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.

End-to-End Semi-Supervised Object Detection with Soft Teacher

2021 321 citations Mengde Xu, Zheng Zhang et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →
Side Adapter Network for Open-Vocabulary Semantic Segmentation

2023 130 citations Mengde Xu, Zheng Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mengde Xu China	4	341	199	52	37	35	7	484
Wei Zhai China	14	382 1.1×	335 1.7×	55 1.1×	31 0.8×	36 1.0×	42	604
Guangxing Han China	8	303 0.9×	237 1.2×	49 0.9×	47 1.3×	49 1.4×	11	427
Zeming Li China	6	375 1.1×	158 0.8×	58 1.1×	35 0.9×	46 1.3×	8	450
Cong Geng China	4	451 1.3×	100 0.5×	63 1.2×	24 0.6×	57 1.6×	10	506
Da‐Han Wang China	12	287 0.8×	107 0.5×	85 1.6×	24 0.6×	23 0.7×	76	429
Ali Hassani United States	2	306 0.9×	104 0.5×	93 1.8×	25 0.7×	53 1.5×	4	442
Yousong Zhu China	8	400 1.2×	170 0.9×	111 2.1×	24 0.6×	33 0.9×	17	535
Zheng Ge Japan	4	386 1.1×	113 0.6×	55 1.1×	53 1.4×	96 2.7×	5	496

Countries citing papers authored by Mengde Xu

Since Specialization

Citations

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

Fields of papers citing papers by Mengde Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengde Xu

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

Xu, Mengde, et al.. (2023). SAN: Side Adapter Network for Open-Vocabulary Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15546–15561. 16 indexed citations

2.

Xu, Mengde, Zheng Zhang, Fangyun Wei, Hanping Hu, & Xiang Bai. (2023). Side Adapter Network for Open-Vocabulary Semantic Segmentation. 2945–2954. 130 indexed citations breakdown →

3.

Xu, Mengde, Zheng Zhang, Han Hu, et al.. (2021). End-to-End Semi-Supervised Object Detection with Soft Teacher. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3040–3049. 321 indexed citations breakdown →

4.

Zhu, Zhen, Tengteng Huang, Mengde Xu, et al.. (2021). Progressive and Aligned Pose Attention Transfer for Person Image Generation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(8). 1–1. 14 indexed citations

5.

Xu, Mengde, et al.. (2020). Research on Network Architecture and Communication Protocol of Network Virtual Reality Based on Image Rendering. IOP Conference Series Materials Science and Engineering. 740(1). 12119–12119. 1 indexed citations

6.

Yang, Guohui & Mengde Xu. (2019). Research on the Application of Tax Planning in Enterprise Financial Management.

7.

Yang, Guohui & Mengde Xu. (2019). Research on Application of Distribution Automation Terminal Equipment Based on Smart Grid in Power Distribution Automation. Journal of Physics Conference Series. 1345(5). 52042–52042. 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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