Shumin Deng

3.1k citations
48 papers · 1.8k · 2 hit papers · h-index 20

Impact in

Papers in

Shumin Deng

47 papers receiving 1.8k citations

Shumin Deng's Hit Papers

LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities 2024 · 124 citations
1240+1+2Years since publication50100150200250

Peers

Shumin Deng
Comparison fields: 5 of 104
  • Artificial Intelligence 1.4k
  • Management Science and Operations Research 238
  • Health Informatics 17
  • Computer Vision and Pattern Recognition 229
  • Information Systems 190
Replace Sabbir M. Rashid with:
Sabbir M. Rashid United States
Lukas Schmelzeisen Germany
José Emilio Labra Gayo Italy
Donghong Ji China
Stephen H. Bach United States
Xuezhe Ma United States
Pasquale Minervini United Kingdom
Xiting Wang China
Shumin Deng relative to Sabbir M. Rashid United States Sabbir M. Rashid's profile →
Citations per field
00.5×5×10×12.5×
Sabbir M. Rashid · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Shumin Deng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shumin Deng Line = papers co-authored together Shumin Deng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
Hit paper breakdown →
2022254
2 2019163
3 2019139
4 2021125
5
LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities
Hit paper breakdown →
2024124
6 201889
7 202281
8 202381
9 202180
10 202259
11 202053
12 202346
13 202141
14 202038
15 202138
16 202135
17 202329
18 202125
19 202423
20 202023

About Shumin Deng

Shumin Deng is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, Information Systems and Signal Processing, having authored 48 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (33 papers), Natural Language Processing Techniques (23 papers), Advanced Graph Neural Networks (12 papers), Advanced Text Analysis Techniques (7 papers), Multimodal Machine Learning Applications (5 papers), Semantic Web and Ontologies (4 papers), Text and Document Classification Technologies (4 papers) and Data Quality and Management (3 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Management Science and Operations Research (238 citations), Health Informatics (17 citations), Computer Vision and Pattern Recognition (229 citations) and Information Systems (190 citations). Shumin Deng has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Huajun Chen, Ningyu Zhang, Fei Huang, Chuanqi Tan, Xin Yu Xie, Yunzhi Yao, Jiaoyan Chen, Luo Si, Mosha Chen and Zhanlin Sun. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Knowledge-Based Systems, Biomedicine & Pharmacotherapy, Expert Systems with Applications and ISPRS International Journal of Geo-Information.

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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