Dianbo Sui

773 total citations
25 papers, 383 citations indexed

About

Dianbo Sui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Dianbo Sui has authored 25 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Dianbo Sui's work include Topic Modeling (17 papers), Natural Language Processing Techniques (13 papers) and Text and Document Classification Technologies (6 papers). Dianbo Sui is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (13 papers) and Text and Document Classification Technologies (6 papers). Dianbo Sui collaborates with scholars based in China, Germany and United Kingdom. Dianbo Sui's co-authors include Yubo Chen, Jun Zhao, Kang Liu, Shengping Liu, Xiangrong Zeng, Yantao Jia, Jun Zhao, Yuantao Xie, Taifeng Wang and Hang Yang and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Science China Information Sciences and ACM Transactions on Intelligent Systems and Technology.

In The Last Decade

Dianbo Sui

21 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dianbo Sui China	8	336	56	49	40	26	25	383
Deepak Nathani United States	5	360 1.1×	70 1.3×	44 0.9×	53 1.3×	24 0.9×	6	399
Jatin Chauhan India	3	344 1.0×	70 1.3×	38 0.8×	52 1.3×	24 0.9×	10	376
Fen Lin China	13	388 1.2×	51 0.9×	83 1.7×	68 1.7×	14 0.5×	22	421
Yunchuan Chen United States	4	479 1.4×	42 0.8×	46 0.9×	46 1.1×	84 3.2×	13	515
Leyang Cui China	11	588 1.8×	29 0.5×	57 1.2×	110 2.8×	30 1.2×	37	658
Sudha Morwal India	7	206 0.6×	24 0.4×	46 0.9×	29 0.7×	17 0.7×	25	263
Ryuichi Takanobu China	11	418 1.2×	25 0.4×	67 1.4×	90 2.3×	20 0.8×	16	469
Yuxian Gu China	6	259 0.8×	18 0.3×	44 0.9×	72 1.8×	14 0.5×	9	311
Yitong Li China	9	267 0.8×	16 0.3×	51 1.0×	56 1.4×	15 0.6×	42	330
Panupong Pasupat United States	16	545 1.6×	25 0.4×	79 1.6×	144 3.6×	26 1.0×	21	602

Countries citing papers authored by Dianbo Sui

Since Specialization

Citations

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

Fields of papers citing papers by Dianbo Sui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dianbo Sui

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

20 of 20 papers shown

Li, Mingda, et al.. (2025). VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding. Proceedings of the AAAI Conference on Artificial Intelligence. 39(3). 3302–3310. 6 indexed citations

Fan, Cunhang, et al.. (2024). MSFNet: Multi-Scale Fusion Network for Brain-Controlled Speaker Extraction. 1652–1661. 7 indexed citations

Tu, Zhiying, et al.. (2024). Can We Debias Multimodal Large Language Models via Model Editing?. 3219–3228. 1 indexed citations

Yin, Shukang, Chaoyou Fu, Tong Bill Xu, et al.. (2024). Woodpecker: hallucination correction for multimodal large language models. Science China Information Sciences. 67(12). 17 indexed citations

Cheng, Siyuan, et al.. (2024). To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models. 1524–1537. 2 indexed citations

Liu, Deyuan, Cunhang Fan, Zhao Lv, et al.. (2024). UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models. 7630–7645.

Sui, Dianbo, et al.. (2024). A Federated Graph to Embedding Approach for Knowledge Graph Completion. 11691–11695.

Sui, Dianbo, Bo Li, Hang Yang, et al.. (2024). A Simple and Interactive Transformer for Fine-Grained Emotion Detection. IEEE Transactions on Audio Speech and Language Processing. 33. 347–358.

Hao, Yanchao, Xiaolong Liu, Dianbo Sui, et al.. (2023). Class Lifelong Learning for Intent Detection via Structure Consolidation Networks. 293–306. 1 indexed citations

10.

Zhang, Yuanzhe, et al.. (2023). Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(2). 1–19. 1 indexed citations

11.

Liu, Jian, Dianbo Sui, Kang Liu, Haoyan Liu, & Zhe Zhao. (2023). Learning with Partial Annotations for Event Detection. 508–523. 1 indexed citations

12.

Zhao, Yang, et al.. (2023). Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process. 5443–5456. 1 indexed citations

13.

Sui, Dianbo, Xiangrong Zeng, Yubo Chen, Kang Liu, & Jun Zhao. (2023). Joint Entity and Relation Extraction With Set Prediction Networks. IEEE Transactions on Neural Networks and Learning Systems. 35(9). 12784–12795. 87 indexed citations

14.

Yang, Hang, Dianbo Sui, Yubo Chen, et al.. (2021). Document-level Event Extraction via Parallel Prediction Networks. 6298–6308. 42 indexed citations

15.

Sui, Dianbo, et al.. (2021). Set Generation Networks for End-to-End Knowledge Base Population. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 9650–9660. 7 indexed citations

16.

Sui, Dianbo, Zhengkun Tian, Yubo Chen, Kang Liu, & Jun Zhao. (2021). A Large-Scale Chinese Multimodal NER Dataset with Speech Clues. 2807–2818. 18 indexed citations

17.

Chen, Yubo, et al.. (2021). CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet. 92–98. 2 indexed citations

18.

Sui, Dianbo, et al.. (2020). FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction. 2118–2128. 73 indexed citations

19.

Liu, Jian, Dianbo Sui, Kang Liu, & Jun Zhao. (2020). Graph-Based Knowledge Integration for Question Answering over Dialogue. 2425–2435. 4 indexed citations

20.

Sui, Dianbo, Yubo Chen, Kang Liu, Jun Zhao, & Shengping Liu. (2019). Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network. 3828–3838. 94 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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