Anwen Hu

642 total citations
17 papers, 143 citations indexed

About

Anwen Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Anwen Hu has authored 17 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 1 paper in Information Systems. Recurrent topics in Anwen Hu's work include Multimodal Machine Learning Applications (10 papers), Topic Modeling (7 papers) and Natural Language Processing Techniques (7 papers). Anwen Hu is often cited by papers focused on Multimodal Machine Learning Applications (10 papers), Topic Modeling (7 papers) and Natural Language Processing Techniques (7 papers). Anwen Hu collaborates with scholars based in China, France and United States. Anwen Hu's co-authors include Qin Jin, Jiabo Ye, Qinghao Ye, Ming Yan, Haiyang Xu, Fei Huang, Shizhe Chen, Jian‐Yun Nie, Haowei Liu and Ji Zhang and has published in prestigious journals such as Wuhan Daxue xuebao. Xinxi kexue ban, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Anwen Hu

13 papers receiving 140 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anwen Hu China	7	83	82	7	7	4	17	143
Orestis Plevrakis United States	2	51 0.6×	84 1.0×	4 0.6×	5 0.7×	4 1.0×	2	113
Ju Xu China	4	57 0.7×	87 1.1×	7 1.0×	7 1.0×	1 0.3×	6	110
Chenggang Zhao China	4	55 0.7×	37 0.5×	12 1.7×	3 0.4×	4 1.0×	5	115
Jeffrey Ling United States	4	50 0.6×	49 0.6×	5 0.7×	8 1.1×	3 0.8×	8	91
Nikolay Bogoychev United Kingdom	8	39 0.5×	124 1.5×	6 0.9×	2 0.3×	8 2.0×	20	138
Barun Patra United States	5	26 0.3×	83 1.0×	5 0.7×	3 0.4×	3 0.8×	15	106
Dominique Stutzmann France	5	57 0.7×	29 0.4×	5 0.7×	5 0.7×		21	76
Ke Tran Netherlands	7	61 0.7×	180 2.2×	14 2.0×	4 0.6×	8 2.0×	12	198
Andrew Drozdov United States	7	61 0.7×	143 1.7×	5 0.7×	2 0.3×	1 0.3×	13	151
Riccardo Corvi Italy	4	132 1.6×	47 0.6×	4 0.6×	6 0.9×	1 0.3×	4	180

Countries citing papers authored by Anwen Hu

Since Specialization

Citations

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

Fields of papers citing papers by Anwen Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anwen Hu

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

All Works

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17 of 17 papers shown

1.

Hu, Anwen, Haiyang Xu, Liang Zhang, et al.. (2025). mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding. 5817–5834. 2 indexed citations

2.

Zhang, Liang, Anwen Hu, Haiyang Xu, et al.. (2024). TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging. 1882–1898. 6 indexed citations

3.

Ye, Qinghao, Haiyang Xu, Jiabo Ye, et al.. (2024). mPLUG-OwI2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration. 13040–13051. 44 indexed citations

4.

Hu, Anwen, Haiyang Xu, Jiabo Ye, et al.. (2024). mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding. 3096–3120. 12 indexed citations

5.

Hu, Anwen, Yaya Shi, Haiyang Xu, et al.. (2024). mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model. 6929–6938. 5 indexed citations

6.

Hu, Anwen, et al.. (2023). Accommodating Audio Modality in CLIP for Multimodal Processing. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9641–9649. 6 indexed citations

7.

Ye, Jiabo, Anwen Hu, Haiyang Xu, et al.. (2023). UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model. 2841–2858. 22 indexed citations

8.

Hu, Anwen, et al.. (2023). InfoMetIC: An Informative Metric for Reference-free Image Caption Evaluation. 3171–3185. 2 indexed citations

9.

Hu, Anwen, et al.. (2023). Movie101: A New Movie Understanding Benchmark. 4669–4684. 4 indexed citations

10.

Zhang, Liang, et al.. (2023). MPMQA: Multimodal Question Answering on Product Manuals. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13958–13966. 3 indexed citations

11.

Hu, Anwen, et al.. (2023). Explore and Tell: Embodied Visual Captioning in 3D Environments. 2482–2491.

12.

Shi, Yaya, Haowei Liu, Haiyang Xu, et al.. (2023). Learning Semantics-Grounded Vocabulary Representation for Video-Text Retrieval. 4460–4470.

13.

Zhang, Qi, et al.. (2022). MovieUN: A Dataset for Movie Understanding and Narrating. 1873–1885.

14.

Hu, Anwen, Shizhe Chen, & Qin Jin. (2021). Question-controlled Text-aware Image Captioning. 3097–3105. 6 indexed citations

15.

Hu, Anwen, Shizhe Chen, & Qin Jin. (2020). ICECAP: Information Concentrated Entity-aware Image Captioning. arXiv (Cornell University). 4217–4225. 10 indexed citations

16.

Hu, Anwen, Zhicheng Dou, Jian‐Yun Nie, & Ji-Rong Wen. (2020). Leveraging Multi-Token Entities in Document-Level Named Entity Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 7961–7968. 21 indexed citations

17.

Hu, Anwen & Zhe Zhang. (2006). Discussion on "Strict Geometric Model Based on Affine Transformation for Remote Sensing Image with High Resolution". Wuhan Daxue xuebao. Xinxi kexue ban.

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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