Qiming Liao

1.6k total citations
41 papers, 1.1k citations indexed

About

Qiming Liao is a scholar working on Infectious Diseases, Virology and Pathology and Forensic Medicine. According to data from OpenAlex, Qiming Liao has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Infectious Diseases, 22 papers in Virology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Qiming Liao's work include HIV Research and Treatment (22 papers), HIV/AIDS drug development and treatment (22 papers) and HIV/AIDS Research and Interventions (14 papers). Qiming Liao is often cited by papers focused on HIV Research and Treatment (22 papers), HIV/AIDS drug development and treatment (22 papers) and HIV/AIDS Research and Interventions (14 papers). Qiming Liao collaborates with scholars based in United States, Netherlands and China. Qiming Liao's co-authors include Mark S. Shaefer, Lisa Ross, Winkler G. Weinberg, Satish Iyengar, Edwin DeJesus, Michael L. Lim, Allan Rodríguez, Judy Johnson, Lin Zhao and Steen Lisby and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Gastroenterology.

In The Last Decade

Qiming Liao

40 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qiming Liao United States 19 578 491 249 171 138 41 1.1k
Shiquan Wu China 12 85 0.1× 83 0.2× 132 0.5× 91 0.5× 48 0.3× 34 681
Laurence Colin United States 14 265 0.5× 362 0.7× 38 0.2× 57 0.3× 18 0.1× 37 1.0k
T. Yang China 9 734 1.3× 716 1.5× 7 0.0× 26 0.2× 35 0.3× 14 1.1k
Bruce Latham Australia 18 126 0.2× 139 0.3× 52 0.2× 58 0.3× 188 1.4× 38 1.3k
Kerryn Matthews Canada 21 140 0.2× 26 0.1× 13 0.1× 131 0.8× 10 0.1× 38 1.1k
Osamu Uchida Japan 20 35 0.1× 21 0.0× 29 0.1× 205 1.2× 42 0.3× 120 1.5k
Rositsa B. Dimova United States 13 152 0.3× 18 0.0× 42 0.2× 50 0.3× 10 0.1× 31 938
Cliburn Chan United States 15 81 0.1× 49 0.1× 29 0.1× 123 0.7× 8 0.1× 56 855
Peter Hu United States 21 70 0.1× 4 0.0× 169 0.7× 165 1.0× 8 0.1× 76 1.2k
Wenxin Xu United States 17 30 0.1× 57 0.1× 48 0.2× 599 3.5× 6 0.0× 73 1.5k

Countries citing papers authored by Qiming Liao

Since Specialization
Citations

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

Fields of papers citing papers by Qiming Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiming Liao

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

All Works

20 of 20 papers shown
1.
Liao, Qiming, et al.. (2024). Joint negative–positive-learning based sample reweighting for hyperspectral image classification with label noise. Pattern Recognition Letters. 183. 98–103. 2 indexed citations
2.
Liu, Yin, Qiming Liao, Nan Zhang, et al.. (2023). Raman Spectroscopy Fiber Probe Based on Metalens and Multimode Fiber for Malachite Green Determination. IEEE Sensors Journal. 23(15). 16866–16872. 5 indexed citations
3.
Liao, Qiming, et al.. (2023). Graph Guided Transformer: An Image-Based Global Learning Framework for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 7 indexed citations
4.
Liao, Qiming, et al.. (2021). Rupture Risk Assessment of Cervical Spinal Manipulations on Carotid Atherosclerotic Plaque by a 3D Fluid‐Structure Interaction Model. BioMed Research International. 2021(1). 8239326–8239326. 2 indexed citations
5.
6.
Matasar, Matthew J., Myron S. Czuczman, Maria Alma Rodriguez, et al.. (2013). Ofatumumab in combination with ICE or DHAP chemotherapy in relapsed or refractory intermediate grade B-cell lymphoma. Blood. 122(4). 499–506. 45 indexed citations
7.
Furman, Richard R., Herbert Eradat, Julie Switzky, et al.. (2010). A Phase II Trial of Ofatumumab In Subjects with Waldenstrom's Macroglobulinemia.. Blood. 116(21). 1795–1795. 7 indexed citations
8.
Hicks, Charles B., Edwin DeJesus, Louis Sloan, et al.. (2009). Comparison of Once-Daily Fosamprenavir Boosted with Either 100 or 200 mg of Ritonavir, in Combination with Abacavir/Lamivudine: 96-Week Results from COL100758. AIDS Research and Human Retroviruses. 25(4). 395–403. 17 indexed citations
9.
Young, Benjamin, Kathleen Squires, Parul Patel, et al.. (2008). First large, multicenter, open-label study utilizing HLA-B*5701 screening for abacavir hypersensitivity in North America. AIDS. 22(13). 1673–1675. 62 indexed citations
10.
Ross, Lisa, Michael L. Lim, Qiming Liao, et al.. (2007). Prevalence of Antiretroviral Drug Resistance and Resistance-Associated Mutations in Antiretroviral Therapy-Naïve HIV-Infected Individuals from 40 United States Cities. HIV Clinical Trials. 8(1). 1–8. 78 indexed citations
11.
Ruane, Peter, Edwin DeJesus, Daniel S Berger, et al.. (2006). Pilot Study of Once-Daily Simplification Therapy with Abacavir/Lamivudine/Zidovudine and Efavirenz for Treatment of HIV-1 Infection. HIV Clinical Trials. 7(5). 229–236. 8 indexed citations
12.
13.
Gallant, Joel E., Allan Rodríguez, Winkler G. Weinberg, et al.. (2005). Early Virologic Nonresponse to Tenofovir, Abacavir, and Lamivudine in HIV‐Infected Antiretroviral‐Naive Subjects. The Journal of Infectious Diseases. 192(11). 1921–1930. 109 indexed citations
14.
Nadler, Jeffrey P., Joseph Gathe, Richard B. Pollard, et al.. (2003). Twice-daily amprenavir 1200 mg versus amprenavir 600 mg/ritonavir 100 mg, in combination with at least 2 other antiretroviral drugs, in HIV-1-infected patients. BMC Infectious Diseases. 3(1). 10–10. 11 indexed citations
15.
Liao, Qiming, et al.. (2002). Genotypic and Phenotypic Cross-Resistance Patterns to Lopinavir and Amprenavir in Protease Inhibitor-Experienced Patients with HIV Viremia. AIDS Research and Human Retroviruses. 18(14). 1011–1019. 21 indexed citations
16.
Ross, Lisa, Qiming Liao, Haitao Gao, et al.. (2001). Impact of HIV Type 1 Drug Resistance Mutations and Phenotypic Resistance Profile on Virologic Response to Salvage Therapy. AIDS Research and Human Retroviruses. 17(15). 1379–1385. 12 indexed citations
17.
18.
Ross, Lisa, M. R. W. Johnson, Ralph DeMasi, et al.. (2000). Viral genetic heterogeneity in HIV-1-infected individuals is associated with increasing use of HAART and higher viremia. AIDS. 14(7). 813–819. 19 indexed citations
19.
Sun, Jianguo, Qiming Liao, & Michele Pagano. (1999). Regression Analysis of Doubly Censored Failure Time Data with Applications to AIDS Studies. Biometrics. 55(3). 909–914. 36 indexed citations
20.
Iyengar, Satish & Qiming Liao. (1997). Modeling neural activity using the generalized inverse Gaussian distribution. Biological Cybernetics. 77(4). 289–295. 50 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.

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