Ruosong Yang

566 citations
22 papers · 337 · h-index 8

Impact in

Papers in

    • Topic Modeling 12
    • Natural Language Processing Techniques 7
    • Sentiment Analysis and Opinion Mining 6
    • Advanced Text Analysis Techniques 6
    • Mental Health via Writing 2

Ruosong Yang

21 papers receiving 331 citations

Peers

Ruosong Yang
Comparison fields: 5 of 57
  • Water Science and Technology 123
  • Artificial Intelligence 148
  • Biomedical Engineering 95
  • Computer Science Applications 10
  • Computer Vision and Pattern Recognition 30
Replace Mohamed Mohana with:
Mohamed Mohana Saudi Arabia
S. Sivakumar India
Haochen Zou China
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Citations per field
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Citations per year

Countries citing papers authored by Ruosong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ruosong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016132
2 202060
3 202326
4 202226
5 202315
6 202112
7 201911
8 20218
9 20227
10 20157
11 20246
12 20155
13 20184
14 20244
15 20244
16
Decode with Template: Content Preserving Sentiment Transfer
20203
17
Enhancing Automated Essay Scoring Performance via Cohesion Measurement and Combination of Regression and Ranking
20202
18 20232
19 20241
20 20221

About Ruosong Yang

Ruosong Yang is a scholar working on Artificial Intelligence, Social Psychology, Information Systems, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 22 papers that have together received 337 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (7 papers), Sentiment Analysis and Opinion Mining (6 papers), Advanced Text Analysis Techniques (6 papers), Mental Health via Writing (2 papers), Human Mobility and Location-Based Analysis (2 papers), Emotion and Mood Recognition (2 papers) and Green IT and Sustainability (1 paper). The work is most often cited by research in Water Science and Technology (123 citations), Artificial Intelligence (148 citations), Biomedical Engineering (95 citations), Computer Science Applications (10 citations) and Computer Vision and Pattern Recognition (30 citations). Ruosong Yang has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Zhiyuan Wen, Jiannong Cao, Rui Miao, Lei Wang, Yongtao Lv, Jiaxuan Wang, Xudong Wang, Xiaorong Meng, Xiaoting Zhang and Xiaodong He. Their work appears in journals such as Information Processing & Management, Water Research, ACM Transactions on Information Systems, IEEE Transactions on Knowledge and Data Engineering and Language Resources and Evaluation.

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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