L. Wang
Impact in
- Numerical Analysis top 10%
- Numerical methods for differential equations
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- Cancer Immunotherapy and Biomarkers
- Ear and Head Tumors
Papers in
- Oncology 6
- Cancer Immunotherapy and Biomarkers 2
-
- Control Systems and Identification 4
- Fault Detection and Control Systems 3
- Advanced Control Systems Optimization 3
- Co-authors
- A. Semlyen (2 shared papers)Nicole G. Chau (1 shared paper)L.L. Siu (1 shared paper)Susan Turner (1 shared paper)Sebastién J. Hotte (1 shared paper)Ian F. Tannock (4 shared papers)Malcolm J. Moore (3 shared papers)Anthony M. Joshua (3 shared papers)
- Journals
- Annals of Oncology (8 papers)Journal of Clinical Oncology (4 papers)IEEE Transactions on Power Systems (2 papers)Gynecologic Oncology (1 paper)Diabetologia (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
L. Wang
21 papers receiving 552 citations
Peers
Comparison fields: 5 of 75
- Numerical Analysis 58
- Oncology 123
- Control and Systems Engineering 106
- Surgery 122
- Electrical and Electronic Engineering 169
Countries citing papers authored by L. Wang
This map shows the geographic impact of L. Wang'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 L. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Wang more than expected).
Fields of papers citing papers by L. Wang
This network shows the impact of papers produced by L. Wang. 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 L. Wang. The network helps show where L. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside L. Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 121 | |
| 2 | 2011 | 117 | |
| 3 | 2013 | 99 | |
| 4 | 1988 | 57 | |
| 5 | 2018 | 56 | |
| 6 | 2009 | 29 | |
| 7 | 2009 | 23 | |
| 8 | 2016 | 23 | |
| 9 | 1993 | 18 | |
| 10 | 2019 | 8 | |
| 11 | 1992 | 7 | |
| 12 | 2009 | 3 | |
| 13 | 1993 | 3 | |
| 14 | 2014 | 3 | |
| 15 | 2009 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2009 | 2 | |
| 18 | 2006 | 2 | |
| 19 | 1993 | 2 | |
| 20 | 2007 | 1 |
About L. Wang
L. Wang is a scholar working on Oncology, Control and Systems Engineering, Pulmonary and Respiratory Medicine, Surgery and Molecular Biology, having authored 24 papers that have together received 579 indexed citations. Recurring topics across this work include Control Systems and Identification (4 papers), Fault Detection and Control Systems (3 papers), Advanced Control Systems Optimization (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Prostate Cancer Treatment and Research (2 papers), Statistical Methods in Clinical Trials (2 papers), Power System Optimization and Stability (2 papers) and Railway Systems and Energy Efficiency (1 paper). The work is most often cited by research in Numerical Analysis (58 citations), Oncology (123 citations), Control and Systems Engineering (106 citations), Surgery (122 citations) and Electrical and Electronic Engineering (169 citations). L. Wang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include A. Semlyen, Nicole G. Chau, L.L. Siu, Susan Turner, Sebastién J. Hotte, Ian F. Tannock, Malcolm J. Moore, Anthony M. Joshua, W.R. Cluett and Monika K. Krzyzanowska. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, IEEE Transactions on Power Systems, Gynecologic Oncology and Diabetologia.
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.