L. Wang
Impact in
- Numerical Analysis top 10%
- Numerical methods for differential equations
-
- Ear and Head Tumors
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 11
- Cancer Immunotherapy and Biomarkers 3
- CAR-T cell therapy research 2
-
- Statistical Methods in Clinical Trials 3
- Co-authors
- A. SemlyenSusan TurnerL.L. SiuNicole G. ChauSébastien J. HotteIan F. TannockMalcolm J. MooreAnthony M. Joshua
- Journals
- Annals of Oncology (8 papers)Journal of Clinical Oncology (4 papers)IEEE Transactions on Power Systems (2 papers)Diabetologia (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
L. Wang
20 papers receiving 528 citations
Peers
Comparison fields: 5 of 75
- Numerical Analysis 55
- Oncology 184
- Control and Systems Engineering 98
- Cancer Research 61
- Otorhinolaryngology 17
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2019 | 8 | |
| 3 | 2019 | 1 | |
| 4 | 2019 | 1 | |
| 5 | 2019 | 0 | |
| 6 | 2018 | 51 | |
| 7 | 2016 | 0 | |
| 8 | 2016 | 22 | |
| 9 | 2014 | 2 | |
| 10 | 2013 | 97 | |
| 11 | 2011 | 112 | |
| 12 | 2009 | 22 | |
| 13 | 2009 | 29 | |
| 14 | 2009 | 2 | |
| 15 | 2007 | 1 | |
| 16 | 2006 | 2 | |
| 17 | 1993 | 2 | |
| 18 | 1992 | 7 | |
| 19 | 1990 | 115 | |
| 20 | 1988 | 56 |
About L. Wang
L. Wang is a scholar working on Oncology, Statistics and Probability, Statistics, Probability and Uncertainty, Immunology and Numerical Analysis, having authored 23 papers that have together received 550 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Statistical Methods in Clinical Trials (3 papers), Control Systems and Identification (3 papers), Neuroendocrine Tumor Research Advances (2 papers), CAR-T cell therapy research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Fault Detection and Control Systems (2 papers) and Power System Optimization and Stability (2 papers). The work is most often cited by research in Numerical Analysis (55 citations), Oncology (184 citations), Control and Systems Engineering (98 citations), Cancer Research (61 citations) and Otorhinolaryngology (17 citations). L. Wang has collaborated with scholars based in Canada, United States and India. Frequent co-authors include A. Semlyen, Susan Turner, L.L. Siu, Nicole G. Chau, Sébastien J. Hotte, Ian F. Tannock, Malcolm J. Moore, Anthony M. Joshua, Monika K. Krzyzanowska and W.R. Cluett. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, IEEE Transactions on Power Systems, Diabetologia and European Journal of Cancer.
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.