Shumin Deng

2.8k total citations · 2 hit papers
40 papers, 1.2k citations indexed

About

Shumin Deng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Shumin Deng has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Shumin Deng's work include Topic Modeling (29 papers), Natural Language Processing Techniques (23 papers) and Advanced Graph Neural Networks (8 papers). Shumin Deng is often cited by papers focused on Topic Modeling (29 papers), Natural Language Processing Techniques (23 papers) and Advanced Graph Neural Networks (8 papers). Shumin Deng collaborates with scholars based in China, United States and Singapore. Shumin Deng's co-authors include Huajun Chen, Ningyu Zhang, Fei Huang, Chuanqi Tan, Xin Xie, Luo Si, Jiaoyan Chen, Mosha Chen, Yunzhi Yao and Xiang Chen and has published in prestigious journals such as Expert Systems with Applications, Biomedicine & Pharmacotherapy and Knowledge-Based Systems.

In The Last Decade

Shumin Deng

38 papers receiving 1.2k 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.

KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction

2022 219 citations Ningyu Zhang, Xin Xie et al. profile →
LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities

2024 73 citations Xiaohan Wang, Jing Chen et al. World Wide Web profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shumin Deng China	18	976	181	164	141	104	40	1.2k
Mathias Niepert United States	16	801 0.8×	182 1.0×	204 1.2×	204 1.4×	72 0.7×	60	970
Donghong Ji China	24	1.3k 1.4×	161 0.9×	137 0.8×	153 1.1×	282 2.7×	88	1.5k
Xiaozhi Wang China	10	941 1.0×	83 0.5×	195 1.2×	127 0.9×	71 0.7×	31	1.2k
Ziniu Hu United States	8	892 0.9×	56 0.3×	217 1.3×	312 2.2×	110 1.1×	12	1.2k
Sabbir M. Rashid United States	5	498 0.5×	140 0.8×	88 0.5×	159 1.1×	115 1.1×	17	790
Stephen H. Bach United States	12	1.1k 1.2×	138 0.8×	162 1.0×	203 1.4×	100 1.0×	32	1.4k
Yukuo Cen China	10	599 0.6×	70 0.4×	191 1.2×	333 2.4×	77 0.7×	17	822
Kun Kuang China	18	838 0.9×	53 0.3×	248 1.5×	198 1.4×	46 0.4×	102	1.2k
Axel Polleres Chile	3	480 0.5×	132 0.7×	78 0.5×	148 1.0×	103 1.0×	3	733
José Emilio Labra Gayo Chile	3	480 0.5×	132 0.7×	78 0.5×	148 1.0×	103 1.0×	3	733

Countries citing papers authored by Shumin Deng

Since Specialization

Citations

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

Fields of papers citing papers by Shumin Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shumin Deng

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

1.

Deng, Shumin, Zhiyuan Zhang, Xu Chen, et al.. (2025). The E3 ligase c-Cbl modulates microglial phenotypes and contributes to Parkinson’s disease pathology. Cell Death Discovery. 11(1). 184–184. 1 indexed citations

2.

Wang, Xiaohan, Jing Chen, Shuofei Qiao, et al.. (2024). LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities. World Wide Web. 27(5). 73 indexed citations breakdown →

3.

Wang, Mengru, Ningyu Zhang, Ziwen Xu, et al.. (2024). Detoxifying Large Language Models via Knowledge Editing. 3093–3118. 6 indexed citations

4.

Deng, Shumin, et al.. (2024). Optimization Design of Predictive Response Based on Time Series Forecast Model LSTM in Broadband High Current Feedback Regulation. 237–241. 1 indexed citations

5.

Deng, Shumin, et al.. (2024). Information Extraction in Low-Resource Scenarios: Survey and Perspective. 33–49. 3 indexed citations

6.

Zhang, Ningyu, et al.. (2024). Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View. 14544–14607. 14 indexed citations

7.

Qiao, Shuofei, Ningyu Zhang, Xiang Chen, et al.. (2023). Reasoning with Language Model Prompting: A Survey. 5368–5393. 61 indexed citations

8.

Yao, Yunzhi, et al.. (2023). Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction. 911–921. 9 indexed citations

9.

Deng, Shumin, et al.. (2023). SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres. 351–363.

10.

Deng, Shumin, Jiacheng Yang, Hongbin Ye, et al.. (2023). LOGEN: Few-Shot Logical Knowledge-Conditioned Text Generation With Self-Training. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2124–2133.

11.

Yin, Fang, Qiang Zhang, Haihong Yang, et al.. (2022). Molecular Contrastive Learning with Chemical Element Knowledge Graph. Proceedings of the AAAI Conference on Artificial Intelligence. 36(4). 3968–3976. 61 indexed citations

12.

Deng, Shumin, et al.. (2021). MLBiNet: A Cross-Sentence Collective Event Detection Network. 4829–4839. 33 indexed citations

13.

Xie, Xin, Xiangnan Chen, Xiang Chen, et al.. (2021). ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning. 810–819. 1 indexed citations

14.

Chen, Xiang, Xin Xie, Shumin Deng, et al.. (2021). AdaPrompt: Adaptive Prompt-based Finetuning for Relation Extraction. arXiv (Cornell University). 22 indexed citations

15.

Deng, Shumin, Ningyu Zhang, Hui Chen, et al.. (2021). Low-resource extraction with knowledge-aware pairwise prototype learning. Knowledge-Based Systems. 235. 107584–107584. 9 indexed citations

16.

Zhang, Ningyu, Shumin Deng, Juan Li, et al.. (2020). Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention. 15–24. 12 indexed citations

17.

Zhang, Ningyu, Shumin Deng, Haiyang Yu, et al.. (2020). OpenUE: An Open Toolkit of Universal Extraction from Text. 1–8. 17 indexed citations

18.

Yu, Haiyang, Ningyu Zhang, Shumin Deng, et al.. (2020). Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction. 6399–6410. 31 indexed citations

19.

Sun, Zhanlin, et al.. (2019). Improving Few-shot Text Classification via Pretrained Language Representations.. arXiv (Cornell University). 2 indexed citations

20.

Zhang, Ningyu, et al.. (2018). Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction. 986–992. 71 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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