Zhihong Qi

607 total citations · 1 hit paper
32 papers, 330 citations indexed

About

Zhihong Qi is a scholar working on Surgery, Oncology and Physiology. According to data from OpenAlex, Zhihong Qi has authored 32 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Oncology and 5 papers in Physiology. Recurrent topics in Zhihong Qi's work include COVID-19 Clinical Research Studies (3 papers), Clinical Laboratory Practices and Quality Control (3 papers) and Vitamin D Research Studies (2 papers). Zhihong Qi is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), Clinical Laboratory Practices and Quality Control (3 papers) and Vitamin D Research Studies (2 papers). Zhihong Qi collaborates with scholars based in China, Australia and Hong Kong. Zhihong Qi's co-authors include Lin Zhang, Xuzhen Qin, Yan Yan, Ziwei Liu, Zongsuo Liang, Yan Liu, Fenghua Liu, Da-Wei Zhou, Han-Jia Ye and De‐Chuan Zhan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Frontiers in Immunology and Cancer Letters.

In The Last Decade

Zhihong Qi

29 papers receiving 328 citations

Hit Papers

Class-Incremental Learnin... 2024 2026 2024 10 20 30 40 50
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Class-Incremental Learning: A Survey
    2024 58 citations Da-Wei Zhou, Zhihong Qi et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhihong Qi China 10 99 40 39 38 36 32 330
Menglu Chen China 15 192 1.9× 34 0.8× 46 1.2× 44 1.2× 27 0.8× 29 642
Yani Zhang China 14 172 1.7× 20 0.5× 28 0.7× 34 0.9× 46 1.3× 35 583
Adela Sitar-Tăut Romania 13 82 0.8× 26 0.7× 39 1.0× 14 0.4× 74 2.1× 60 552
Sara Saffar Soflaei Iran 13 159 1.6× 55 1.4× 37 0.9× 24 0.6× 75 2.1× 42 649
Pankaj Mathur United States 10 106 1.1× 28 0.7× 46 1.2× 16 0.4× 23 0.6× 31 527
Kavita Munjal India 10 70 0.7× 12 0.3× 65 1.7× 22 0.6× 20 0.6× 42 369
Md Salim Ahammed Bangladesh 8 62 0.6× 80 2.0× 26 0.7× 10 0.3× 42 1.2× 13 361

Countries citing papers authored by Zhihong Qi

Since Specialization
Citations

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

Fields of papers citing papers by Zhihong Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhihong Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Zhihong Qi. A scholar is included among the top collaborators of Zhihong Qi 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 Zhihong Qi. Zhihong Qi 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.
Qi, Zhihong, et al.. (2025). Adaptive adapter routing for long-tailed class-incremental learning. Machine Learning. 114(3).
2.
Zhou, Da-Wei, et al.. (2024). Class-Incremental Learning: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9851–9873. 58 indexed citations breakdown →
3.
Chen, Xinwen, Zhihong Qi, Jinhui Wang, & Lingqian Zhang. (2024). Study on antibody-conjugated drugs and targeted therapy for triple-negative breast cancer. Theoretical and Natural Science. 57(1). 175–181.
4.
Kong, Xiangyi, Li Chen, Zhaohui Su, et al.. (2023). Toxicities associated with immune checkpoint inhibitors: a systematic study. International Journal of Surgery. 109(6). 1753–1768. 9 indexed citations
5.
6.
Liu, Yali, et al.. (2023). Comparison of GLIM and PG-SGA for predicting clinical outcomes of patients with esophageal squamous carcinoma resection. Nutrición Hospitalaria. 40(3). 574–582. 6 indexed citations
7.
Liu, Yali, et al.. (2023). Combination of Chest Computed Tomography Value and Clinical Laboratory Data for the Prognostic Risk Evaluation of Patients with COVID-19. International Journal of General Medicine. Volume 16. 3829–3842. 2 indexed citations
8.
Liu, Peng, Jianqiang Wu, Dandan Sun, et al.. (2022). Proteomic Profiling of Cryoglobulinemia. Frontiers in Immunology. 13. 855513–855513. 2 indexed citations
9.
Guo, Xiaodan, Xiaoyu Qian, Ying Jin, et al.. (2021). Hypertension Induced by Combination Therapy of Cancer: A Systematic Review and Meta-Analysis of Global Clinical Trials. Frontiers in Pharmacology. 12. 712995–712995. 8 indexed citations
10.
Xu, Chao, et al.. (2021). Development and Validation of a Prognostic Gene Signature in Clear Cell Renal Cell Carcinoma. Frontiers in Molecular Biosciences. 8. 609865–609865. 9 indexed citations
11.
Kong, Xiangyi, Yihang Qi, Junjie Huang, et al.. (2021). Epidemiological and clinical characteristics of cancer patients with COVID-19: A systematic review and meta-analysis of global data. Cancer Letters. 508. 30–46. 11 indexed citations
12.
Qin, Xuzhen, Ling Qiu, Guodong Tang, et al.. (2020). Prevalence of metabolic syndrome among ethnic groups in China. BMC Public Health. 20(1). 297–297. 25 indexed citations
13.
Qin, Xuzhen, Man Fung Tsoi, Xinyu Zhao, et al.. (2020). Vancomycin-associated acute kidney injury in Hong Kong in 2012–2016. BMC Nephrology. 21(1). 41–41. 12 indexed citations
14.
Zhang, Lin, Huachun Zou, Yang Zhao, et al.. (2019). Association between blood circulating vitamin D and colorectal cancer risk in Asian countries: a systematic review and dose-response meta-analysis. BMJ Open. 9(12). e030513–e030513. 38 indexed citations
15.
Wang, Fei & Zhihong Qi. (2016). From laboratory to clinic: job responsibility of laboratory physician. 4(2). 73–77. 1 indexed citations
16.
Qi, Zhihong, Lin Zhang, Yu Chen, et al.. (2015). Biological variations of seven tumor markers. Clinica Chimica Acta. 450. 233–236. 15 indexed citations
17.
Qi, Zhihong, Yu Chen, Lin Zhang, et al.. (2015). Biological variations of thirteen plasma biochemical indicators. Clinica Chimica Acta. 452. 87–91. 9 indexed citations
18.
Guo, Xiuzhi, Li’an Hou, Xinqi Cheng, et al.. (2015). Strong Negative Interference by Calcium Dobesilate in Sarcosine Oxidase Assays for Serum Creatinine Involving the Trinder Reaction. Medicine. 94(23). e905–e905. 17 indexed citations
19.
Guo, Xiuzhi, et al.. (2014). Assessment of the consistency of five standardized cystatin C measurement systems. Zhonghua jianyan yixue zazhi. 37(5). 362–367. 1 indexed citations
20.
Yan, Yan, et al.. (2013). Selective responses of enzymes in the two parallel pathways of rosmarinic acid biosynthetic pathway to elicitors in Salvia miltiorrhiza hairy root cultures. Journal of Bioscience and Bioengineering. 117(5). 645–651. 69 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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