Ruiyang Ren

2.5k citations
19 papers · 585 indexed · 1 hit paper · h-index 10
Topics
Topic Modeling (9 papers)Natural Language Processing Techniques (4 papers)Multimodal Machine Learning Applications (3 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Dental ResearchJournal of Applied Polymer Science
Partner nations
ChinaSingaporeHungary

In The Last Decade

Ruiyang Ren

17 papers receiving 569 citations

Hit Papers

RocketQA: An Optimized Training Approach to Dense Passage...2021202620222024202150100150200

Peers

Ruiyang Ren
Comparison fields: 5 of 104
  • Artificial Intelligence 394
  • Computer Vision and Pattern Recognition 178
  • Information Systems 84
  • Biomedical Engineering 48
  • Oral Surgery 41
Replace Riaz Ul Amin with:
Riaz Ul Amin Pakistan
Jufriadif Na’am Indonesia
Raúl Alonso-Calvo Spain
Vivi Năstase Germany
Amruta Joshi India
Nazia Hameed United Kingdom
Nai‐Wen Chang Taiwan
Biswarup Ray India
Hanxiao Sun China
Yuqing Ai China
Ruiyang Ren relative to Riaz Ul Amin Pakistan Riaz Ul Amin's profile →
Citations per field
00.5×5.3×
Riaz Ul Amin · 1×
Citations per year

Countries citing papers authored by Ruiyang Ren

Since Specialization
Citations

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

Fields of papers citing papers by Ruiyang Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiyang Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiyang Ren. A scholar is included among the top collaborators of Ruiyang Ren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ruiyang Ren. Ruiyang Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 1
5 16
6 2
7 9
8 1
9 9
10 52
11 5
12 21
13 31
14 99
15 21
16
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answeringbreakdown →
204
17 45
18 49
19 19

About Ruiyang Ren

Ruiyang Ren is a scholar working on Artificial Intelligence, Oral Surgery and Otorhinolaryngology, having authored 19 papers that have together received 585 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (4 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Artificial Intelligence (394 citations), Computer Vision and Pattern Recognition (178 citations) and Health Informatics (8 citations). Ruiyang Ren has collaborated with scholars based in China, Singapore and Hungary. Frequent co-authors include Jing Liu, Wayne Xin Zhao, Hua Wu, Haifeng Wang, Yingqi Qu, Ji-Rong Wen, Kai Liu, Daxiang Dong, Wen Liao and Qiaoqiao She. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Dental Research and Journal of Applied Polymer 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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