Linyi Yang

3.8k citations
28 papers · 2.1k · 1 hit paper · h-index 12

Impact in

Papers in

Linyi Yang

25 papers receiving 2k citations

Linyi Yang's Hit Papers

A Survey on Evaluation of Large Language Models 2024 · 1.7k citations
1.7k0+1Years since publication5001k1.5k

Peers

Linyi Yang
Comparison fields: 5 of 117
  • Health Informatics 147
  • Artificial Intelligence 975
  • Information Systems 370
  • General Social Sciences 42
  • Software 48
Replace Yidong Wang with:
Yidong Wang China
Cunxiang Wang China
Kaijie Zhu United States
Xiaoyuan Yi China
Yuan Wu China
Yupeng Chang China
Wei Ye China
Alexander Ratner United States
Linyi Yang relative to Yidong Wang China Yidong Wang's profile →
Citations per field
00.5×10×20×29×
Yidong Wang · 1×
Citations per year

Countries citing papers authored by Linyi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Linyi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Survey on Evaluation of Large Language Models
Hit paper breakdown →
20241734
2 202075
3 202047
4 201840
5 202128
6 202225
7 202424
8 202323
9 202020
10 202219
11 202412
12 202512
13 20238
14
Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction
20177
15 20247
16 20234
17 20234
18 20234
19 20233
20 20232

About Linyi Yang

Linyi Yang is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, Applied Mathematics and Computational Theory and Mathematics, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (5 papers), Stock Market Forecasting Methods (4 papers), Adversarial Robustness in Machine Learning (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Multimodal Machine Learning Applications (2 papers) and Mathematical functions and polynomials (2 papers). The work is most often cited by research in Health Informatics (147 citations), Artificial Intelligence (975 citations), Information Systems (370 citations), General Social Sciences (42 citations) and Software (48 citations). Linyi Yang has collaborated with scholars based in China, Ireland and United States. Frequent co-authors include Yue Zhang, Jindong Wang, Yidong Wang, Cunxiang Wang, Xing Xie, Hao Chen, Wei Ye, Qiang Yang, Yi Chang and Yupeng Chang. Their work appears in journals such as ACM Transactions on Intelligent Systems and Technology, Frontiers in Aging Neuroscience, ACM Computing Surveys, Mathematics of Computation and Energy & Environmental 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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