Cliff Wong

971 total citations
8 papers, 20 citations indexed

About

Cliff Wong is a scholar working on Cancer Research, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Cliff Wong has authored 8 papers receiving a total of 20 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cancer Research, 2 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Cliff Wong's work include Cancer Genomics and Diagnostics (3 papers), Topic Modeling (2 papers) and Genomics and Rare Diseases (1 paper). Cliff Wong is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Topic Modeling (2 papers) and Genomics and Rare Diseases (1 paper). Cliff Wong collaborates with scholars based in United States and United Kingdom. Cliff Wong's co-authors include Tristan Naumann, Naoto Usuyama, Hoifung Poon, Roshanthi Weerasinghe, Brian Piening, Sheng Zhang, Sarthak Jain, Carlo Bifulco, Alessandro De Vita and Mark Schmidt and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Proceedings of the IEEE.

In The Last Decade

Cliff Wong

8 papers receiving 19 citations

Peers

Cliff Wong

AI

EE

MB

CR

SPS

Andrea Saltzman United Kingdom

Anthony Ajiboye Nigeria

Greg Strylewicz United States

Rida Assaf United States

Amol S. Dhane India

Jürgen Ensthaler Germany

Atallah Fahed Alserhan Jordan

M. S. Kim Canada

C. Anastopoulos United Kingdom

Arijit Chakrabarti India

Andrea Saltzman United Kingdom

Cliff Wong

7 ×0.9

AI

2 ×0.5

EE

2 ×0.7

MB

2 ×0.7

CR

3 ×1.5

SPS

Citations per year, relative to Cliff Wong Cliff Wong (= 1×) peers Andrea Saltzman

Countries citing papers authored by Cliff Wong

Since Specialization

Citations

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

Fields of papers citing papers by Cliff Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cliff Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Cliff Wong. A scholar is included among the top collaborators of Cliff Wong 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 Cliff Wong. Cliff Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Wong, Cliff, Zelalem Gero, Jaspreet Bagga, et al.. (2025). TRIALSCOPE — A Framework for Clinical Trial Simulation from Real-World Data. NEJM AI. 2(10). 2 indexed citations

2.

Usuyama, Naoto, Cliff Wong, Sheng Zhang, Tristan Naumann, & Hoifung Poon. (2025). Biomedical Natural Language Processing in the Era of Large Language Models. PubMed. 8(1). 471–490. 3 indexed citations

3.

Vita, Alessandro De, Douglas Hanes, Bela Bapat, et al.. (2024). Clinical impact for advanced non-small-cell lung cancer patients tested using comprehensive genomic profiling at a large USA health care system. SHILAP Revista de lepidopterología. 5. 100057–100057. 2 indexed citations

4.

Bapat, Bela, Douglas Hanes, Shu‐Ching Chang, et al.. (2024). Widespread Adoption of Precision Anticancer Therapies After Implementation of Pathologist-Directed Comprehensive Genomic Profiling Across a Large US Health System. JCO Oncology Practice. 20(11). 1523–1532. 2 indexed citations

5.

Usuyama, Naoto, et al.. (2023). LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. 28541–28564. 1 indexed citations

6.

Piening, Brian, Bela Bapat, Roshanthi Weerasinghe, et al.. (2023). Improved outcomes from reflex comprehensive genomic profiling-guided precision therapeutic selection across a major US healthcare system.. Journal of Clinical Oncology. 41(16_suppl). 6622–6622. 2 indexed citations

7.

Zhang, Sheng, Cliff Wong, Naoto Usuyama, et al.. (2021). Modular Self-Supervision for Document-Level Relation Extraction. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 5291–5302. 5 indexed citations

8.

Wong, Cliff, et al.. (2009). Innovation: The China Style [Point of View]. Proceedings of the IEEE. 97(9). 1551–1554. 3 indexed citations

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.

Explore authors with similar magnitude of impact