Zeqiu Wu

827 total citations
10 papers, 289 citations indexed

About

Zeqiu Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Zeqiu Wu has authored 10 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Zeqiu Wu's work include Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers) and Multimodal Machine Learning Applications (3 papers). Zeqiu Wu is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers) and Multimodal Machine Learning Applications (3 papers). Zeqiu Wu collaborates with scholars based in United States, United Kingdom and Singapore. Zeqiu Wu's co-authors include Jiawei Han, Xiang Ren, Meng Qu, Clare R. Voss, Heng Ji, Wenqi He, Tarek Abdelzaher, Hannaneh Hajishirzi, Mari Ostendorf and Brian M. Sadler and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Zeqiu Wu

9 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zeqiu Wu United States	6	277	36	33	33	28	10	289
Benfeng Xu China	6	230 0.8×	28 0.8×	29 0.9×	34 1.0×	27 1.0×	14	261
Peng-Hsuan Li Taiwan	4	289 1.0×	55 1.5×	32 1.0×	23 0.7×	41 1.5×	7	312
Qianying Liu Japan	5	238 0.9×	31 0.9×	34 1.0×	24 0.7×	26 0.9×	20	275
Lujun Zhao China	8	255 0.9×	35 1.0×	28 0.8×	26 0.8×	18 0.6×	11	289
Minh C. Phan Singapore	7	191 0.7×	33 0.9×	42 1.3×	17 0.5×	30 1.1×	9	204
Jialong Tang China	8	224 0.8×	24 0.7×	28 0.8×	36 1.1×	14 0.5×	11	265
Nicola De Cao Netherlands	4	196 0.7×	24 0.7×	18 0.5×	51 1.5×	15 0.5×	6	208
Yanchao Hao China	2	239 0.9×	31 0.9×	31 0.9×	35 1.1×	9 0.3×	3	259
Altaf Rahman United States	9	270 1.0×	17 0.5×	25 0.8×	21 0.6×	31 1.1×	11	283
Abdalghani Abujabal Germany	8	318 1.1×	26 0.7×	39 1.2×	41 1.2×	14 0.5×	10	328

Countries citing papers authored by Zeqiu Wu

Since Specialization

Citations

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

Fields of papers citing papers by Zeqiu Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeqiu Wu

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

10 of 10 papers shown

1.

Wu, Zeqiu, et al.. (2024). Training Language Models to Generate Text with Citations via Fine-grained Rewards. 2926–2949. 1 indexed citations

2.

Wu, Zeqiu, Hao Cheng, Sewon Min, et al.. (2023). InSCIt: Information-Seeking Conversations with Mixed-Initiative Interactions. Transactions of the Association for Computational Linguistics. 11. 453–468. 1 indexed citations

3.

Ammanabrolu, Prithviraj, et al.. (2023). Fine-Grained Human Feedback Gives Better Rewards for Language Model Training. 59008–59033.

4.

Wu, Zeqiu, Yi Luan, Hannah Rashkin, et al.. (2022). CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning. 10000–10014. 21 indexed citations

5.

Wu, Zeqiu, et al.. (2021). DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 1852–1863. 12 indexed citations

6.

Wu, Zeqiu, Michel Galley, Chris Brockett, Yizhe Zhang, & Bill Dolan. (2021). Automatic Document Sketching: Generating Drafts from Analogous Texts. 2102–2113. 2 indexed citations

7.

Wu, Zeqiu, Michel Galley, Chris Brockett, et al.. (2021). A Controllable Model of Grounded Response Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 35(16). 14085–14093. 37 indexed citations

8.

Shen, Jiaming, Zeqiu Wu, Chao Zhang, et al.. (2018). HiExpan. 2180–2189. 38 indexed citations

9.

Ren, Xiang, Jiaming Shen, Meng Qu, et al.. (2017). Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. 55–60. 9 indexed citations

10.

Ren, Xiang, Zeqiu Wu, Wenqi He, et al.. (2017). CoType. 1015–1024. 168 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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