Junqi Dai

929 total citations
10 papers, 525 citations indexed

About

Junqi Dai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Junqi Dai has authored 10 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Junqi Dai's work include Topic Modeling (9 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (3 papers). Junqi Dai is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (3 papers). Junqi Dai collaborates with scholars based in China, United States and Singapore. Junqi Dai's co-authors include Xipeng Qiu, Hang Yan, Zheng Zhang, Zheng Zhang, Tao Gui, Qipeng Guo, Pengfei Liu, Tianxiang Sun, Jinlan Fu and Xiao Yang and has published in prestigious journals such as Science China Information Sciences and ACM Transactions on Management Information Systems.

In The Last Decade

Junqi Dai

9 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junqi Dai China	6	497	52	43	40	15	10	525
Chong Teng China	8	294 0.6×	44 0.8×	48 1.1×	30 0.8×	21 1.4×	35	335
Paramita Mirza Germany	10	317 0.6×	50 1.0×	59 1.4×	17 0.4×	18 1.2×	22	335
Alexandre Passos United States	5	425 0.9×	30 0.6×	16 0.4×	45 1.1×	34 2.3×	12	455
Shyam Upadhyay United States	12	587 1.2×	51 1.0×	34 0.8×	151 3.8×	16 1.1×	27	608
Jiwei Tan China	10	364 0.7×	92 1.8×	14 0.3×	78 1.9×	17 1.1×	14	410
Maud Ehrmann Switzerland	9	253 0.5×	49 0.9×	27 0.6×	41 1.0×	15 1.0×	30	311
Lujun Zhao China	8	255 0.5×	28 0.5×	35 0.8×	26 0.7×	18 1.2×	11	289
Daniele Pighin Italy	11	380 0.8×	57 1.1×	13 0.3×	26 0.7×	26 1.7×	32	397
Ryohei Sasano Japan	11	282 0.6×	42 0.8×	11 0.3×	48 1.2×	11 0.7×	50	320
Yassine Benajiba United States	9	328 0.7×	31 0.6×	19 0.4×	27 0.7×	8 0.5×	31	351

Countries citing papers authored by Junqi Dai

Since Specialization

Citations

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

Fields of papers citing papers by Junqi Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junqi Dai

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

Dai, Junqi, Jiasheng Ye, Yunhua Zhou, et al.. (2024). AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling. 9637–9662. 13 indexed citations

2.

Yin, Zhangyue, Qipeng Guo, Xiaonan Li, et al.. (2024). Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance. 2401–2416. 1 indexed citations

3.

Dai, Junqi, et al.. (2024). MOSS-MED: A Family of Multimodal Models Serving Medical Image Analysis. ACM Transactions on Management Information Systems. 16(2). 1–14. 4 indexed citations

4.

Shao, Yunfan, Yitao Liu, Junqi Dai, et al.. (2024). CPT: a pre-trained unbalanced transformer for both Chinese language understanding and generation. Science China Information Sciences. 67(5). 17 indexed citations

5.

Yin, Zhangyue, Cheng Chang, Qipeng Guo, et al.. (2023). Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication. 15135–15153. 3 indexed citations

6.

Dai, Junqi, et al.. (2022). Dialogue Meaning Representation for Task-Oriented Dialogue Systems. 223–237.

7.

Yan, Hang, et al.. (2021). A Unified Generative Framework for Aspect-based Sentiment Analysis. 2416–2429. 176 indexed citations

8.

Yan, Hang, Tao Gui, Junqi Dai, et al.. (2021). A Unified Generative Framework for Various NER Subtasks. 5808–5822. 173 indexed citations

9.

Dai, Junqi, Hang Yan, Tianxiang Sun, Pengfei Liu, & Xipeng Qiu. (2021). Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa. 1816–1829. 113 indexed citations

10.

Liu, Pengfei, Jinlan Fu, Xiao Yang, et al.. (2021). ExplainaBoard: An Explainable Leaderboard for NLP. 280–289. 25 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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