Linyi Yang

3.3k citations
24 papers · 1.3k indexed · 1 hit paper · h-index 10

Linyi Yang

22 papers receiving 1.2k citations

Hit Papers

A Survey on Evaluation of Large Language Models1.0k2024202620252505007501000

Peers

Linyi Yang
Comparison fields: 5 of 124
  • Health Informatics 89
  • Artificial Intelligence 687
  • Management Science and Operations Research 127
  • Software 32
  • Information Systems 179
Replace Cunxiang Wang with:
Cunxiang Wang China
Kaijie Zhu China
Wei Ye China
Xiaoyuan Yi China
Yuan Wu China
Kiran Khatter India
Ting Liu China
Rita Frieske Hong Kong
Linyi Yang relative to Cunxiang Wang China Cunxiang Wang's profile →
Citations per field
00.5×
Cunxiang 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-authorship network

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
#Work
1 20252
2 20240
3 20246
4 20240
5 202411
6 20243
7
A Survey on Evaluation of Large Language Modelsbreakdown →
20241022
8 20241
9 20232
10 202313
11 20231
12 20231
13 20232
14 20234
15 20233
16 202217
17 202221
18 202125
19 202035
20 202016

About Linyi Yang

Linyi Yang is a scholar working on Health Informatics, Management Science and Operations Research, Artificial Intelligence, Finance and General Social Sciences, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (6 papers), Stock Market Forecasting Methods (5 papers), Financial Markets and Investment Strategies (4 papers), Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Sentiment Analysis and Opinion Mining (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Health Informatics (89 citations), Artificial Intelligence (687 citations), Management Science and Operations Research (127 citations), Software (32 citations) and Information Systems (179 citations). Linyi Yang has collaborated with scholars based in China, Ireland and Germany. Frequent co-authors include Yue Zhang, Jindong Wang, Yidong Wang, Xiaoyuan Yi, Philip S. Yu, Kaijie Zhu, Yi Chang, Hao Chen, Qiang Yang and Xing Xie. Their work appears in journals such as IEEE Transactions on Medical Imaging, Frontiers in Aging Neuroscience, Energy & Environmental Science, ACM Computing Surveys and ACM Transactions on Intelligent Systems and Technology.

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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