Yin Yang

185 papers receiving 6.6k citations

Yin Yang's Hit Papers

Durvalumab With or Without Tremelimumab for Patients With Metastatic Pancreatic Ductal Adenocarcinoma 2019 · 500 citations
5000+4+9Years since publication200400600

Peers

Yin Yang
Comparison fields: 5 of 176
  • Artificial Intelligence 2.6k
  • Computer Science Applications 334
  • Signal Processing 530
  • Oncology 1.1k
  • Computer Networks and Communications 982
Replace Vincent Ng with:
Vincent Ng Hong Kong
Mitsuru Ishizuka Japan
Gianluca Bontempi Belgium
Fusheng Wang United States
Jundong Li United States
Thanh Thi Nguyen Australia
Jaewoo Kang South Korea
Zhong Ming China
Xiangnan Kong United States
Ling Chen China
Yin Yang relative to Vincent Ng Hong Kong Vincent Ng's profile →
Citations per field
00.5×8.2×
Vincent Ng · 1×
Citations per year

Countries citing papers authored by Yin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Brentuximab Vedotin (SGN-35) in Patients With Relapsed or Refractory Systemic Anaplastic Large-Cell Lymphoma: Results of a Phase II Study
Hit paper breakdown →
2012719
2
Durvalumab With or Without Tremelimumab for Patients With Metastatic Pancreatic Ductal Adenocarcinoma
Hit paper breakdown →
2019500
3 2016213
4 2012201
5 2009154
6 2017153
7 2019150
8 2013144
9 2019122
10 2018113
11 2018112
12 2018110
13 2021103
14 2018101
15 202296
16 202096
17 202093
18 201990
19 200985
20 200883

About Yin Yang

Yin Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications and Oncology, having authored 196 papers that have together received 6.8k indexed citations. Recurring topics across this work include Data Management and Algorithms (29 papers), Privacy-Preserving Technologies in Data (24 papers), CAR-T cell therapy research (18 papers), Lymphoma Diagnosis and Treatment (16 papers), Advanced Database Systems and Queries (15 papers), Advanced Memory and Neural Computing (14 papers), Cryptography and Data Security (11 papers) and Stochastic Gradient Optimization Techniques (9 papers). The work is most often cited by research in Artificial Intelligence (2.6k citations), Computer Science Applications (334 citations), Signal Processing (530 citations), Oncology (1.1k citations) and Computer Networks and Communications (982 citations). Yin Yang has collaborated with scholars based in China, Qatar and United States. Frequent co-authors include Xiaokui Xiao, Tingwen Huang, Zhenjie Zhang, Dimitris Papadias, Marianne Winslett, Shiping Wen, Derong Liu, Stavros Papadopoulos, Zhigang Zeng and Issa Khalil. Their work appears in journals such as Proceedings of the VLDB Endowment, Blood, Journal of Clinical Oncology, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Systems Man and Cybernetics 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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