Le Sun

1.0k citations
42 papers · 543 · 1 hit paper · h-index 12

Impact in

Papers in

Le Sun

32 papers receiving 528 citations

Le Sun's Hit Papers

Unified Structure Generation for Universal Information Extraction 2022 · 215 citations
2150+1+2Years since publication50100150200

Peers

Le Sun
Comparison fields: 5 of 121
  • Artificial Intelligence 300
  • Energy Engineering and Power Technology 23
  • Management Science and Operations Research 55
  • Information Systems 80
  • Computer Vision and Pattern Recognition 71
Replace Abdullah Al Mamun with:
Abdullah Al Mamun Bangladesh
Alessio Martino Italy
Ashraf Darwish Egypt
Enas Elgeldawi Egypt
Adán José-García France
Zhichao Chen China
Stamatios-Aggelos N. Alexandropoulos Greece
Shaomin Zhang China
Yi Dong China
Adebayo Abayomi‐Alli Nigeria
Le Sun relative to Abdullah Al Mamun Bangladesh Abdullah Al Mamun's profile →
Citations per field
00.5×1.5×2.0×
Abdullah Al Mamun · 1×
Citations per year

Countries citing papers authored by Le Sun

Since Specialization
Citations

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

Fields of papers citing papers by Le Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Le Sun, 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 Le Sun Line = papers co-authored together Le Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Unified Structure Generation for Universal Information Extraction
Hit paper breakdown →
2022215
2 202296
3 202224
4 202221
5 202319
6 202217
7 202215
8 202214
9 202213
10 202213
11 202312
12 202212
13 20229
14 20228
15 20168
16 20237
17
Two reference substances for determination of multiple components(II) : influence of detection wavelength selection on quantitative analysis
20135
18 20185
19 20234
20 20234

About Le Sun

Le Sun is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 543 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (8 papers), Text and Document Classification Technologies (3 papers), Data Quality and Management (3 papers), Advanced Text Analysis Techniques (3 papers), Electrocatalysts for Energy Conversion (2 papers), Advanced battery technologies research (2 papers) and Transportation Planning and Optimization (2 papers). The work is most often cited by research in Artificial Intelligence (300 citations), Energy Engineering and Power Technology (23 citations), Management Science and Operations Research (55 citations), Information Systems (80 citations) and Computer Vision and Pattern Recognition (71 citations). Le Sun has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xianpei Han, Yaojie Lu, Hongyu Lin, Hua Wu, Q. Liu, Xinyan Xiao, He Feng, Xin Ning, Weijun Li and Xiao Bai. Their work appears in journals such as Food Bioscience, ACM Transactions on Sensor Networks, Atmosphere, Frontiers in Immunology and Frontiers in Plant Science.

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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