Yaojie Lu

2.0k citations
45 papers · 1.1k indexed · 1 hit paper · h-index 17

Impact in

Papers in

Yaojie Lu

38 papers receiving 1.0k citations

Hit Papers

Unified Structure Generation for Universal Information Extraction 2022 · 215 citations
215202220262023202450100150200

Peers

Yaojie Lu
Comparison fields: 5 of 89
  • Artificial Intelligence 677
  • Management Science and Operations Research 92
  • Control and Systems Engineering 162
  • Electronic, Optical and Magnetic Materials 127
  • Statistics, Probability and Uncertainty 36
Replace Georg Thimm with:
Georg Thimm Singapore
Yohei Murakami Japan
Changjun Fan China
Naveed Yaqoob Pakistan
Shichao Zhu China
Wenbin Yu China
Jinming Xu China
Shuang Liu China
Sung-Hwan Min United States
Yaojie Lu relative to Georg Thimm Singapore Georg Thimm's profile →
Citations per field
00.5×9.2×
Georg Thimm · 1×
Citations per year

Countries citing papers authored by Yaojie Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yaojie Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202426
4 20240
5 20241
6 20240
7 20245
8 202319
9
Unified Structure Generation for Universal Information Extraction
Hit paper breakdown →
2022215
10 2021126
11 202022
12 20203
13 201932
14 201916
15 201853
16 201576
17 20150
18 200880
19 200738
20
Ricoh Research at TREC 2006: Enterprise Track
20064

About Yaojie Lu

Yaojie Lu is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty, Hardware and Architecture, Control and Systems Engineering and Information Systems, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Natural Language Processing Techniques (18 papers), Fault Detection and Control Systems (7 papers), Control Systems and Identification (6 papers), Advanced Text Analysis Techniques (4 papers), Text and Document Classification Technologies (4 papers), Iron-based superconductors research (3 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Artificial Intelligence (677 citations), Management Science and Operations Research (92 citations), Control and Systems Engineering (162 citations), Electronic, Optical and Magnetic Materials (127 citations) and Statistics, Probability and Uncertainty (36 citations). Yaojie Lu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xianpei Han, Hongyu Lin, Biao Huang, Le Sun, Le Sun, Hua Wu, Xinyan Xiao, Q. Liu, Jialong Tang and Jinsong Su. Their work appears in journals such as IEEE Transactions on Cybernetics, Applied Physics Letters, IEEE Transactions on Industrial Electronics, Journal of Applied Physics and Chemometrics and Intelligent Laboratory Systems.

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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