Daqing Yang

421 total citations · 1 hit paper
16 papers, 333 citations indexed

About

Daqing Yang is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Daqing Yang has authored 16 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Surgery. Recurrent topics in Daqing Yang's work include RNA modifications and cancer (3 papers), Circular RNAs in diseases (3 papers) and AI in cancer detection (2 papers). Daqing Yang is often cited by papers focused on RNA modifications and cancer (3 papers), Circular RNAs in diseases (3 papers) and AI in cancer detection (2 papers). Daqing Yang collaborates with scholars based in China, United States and Australia. Daqing Yang's co-authors include Jianfu Xia, Huiling Chen, Zhifang Pan, Ali Asghar Heidari, Tong Liu, Hongliang Zhang, Yuyan Chen, Hong Zhou, Zhifei Wang and Hamza Turabieh and has published in prestigious journals such as Biochemical and Biophysical Research Communications, IEEE Access and Gene.

In The Last Decade

Daqing Yang

16 papers receiving 328 citations

Hit Papers

Performance optimization of support vector machine with o... 2022 2026 2023 2024 2022 25 50 75
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. Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis
    2022 80 citations Jianfu Xia, Zhifei Wang et al. Computers in Biology and Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daqing Yang China 9 110 106 54 44 37 16 333
Xiaogang Dong China 13 144 1.3× 85 0.8× 110 2.0× 59 1.3× 34 0.9× 60 531
Xiaotong Huang China 13 203 1.8× 130 1.2× 69 1.3× 37 0.8× 35 0.9× 45 522
Xueding Cai China 14 144 1.3× 143 1.3× 55 1.0× 39 0.9× 30 0.8× 29 562
Shengtian Sang United States 11 112 1.0× 82 0.8× 23 0.4× 61 1.4× 105 2.8× 26 336
Fleur Jeanquartier Austria 11 94 0.9× 67 0.6× 33 0.6× 32 0.7× 60 1.6× 17 302
Qiang Cao China 15 101 0.9× 93 0.9× 64 1.2× 31 0.7× 9 0.2× 112 813
Bai Ji China 14 96 0.9× 83 0.8× 53 1.0× 76 1.7× 30 0.8× 30 398
Melanie Osl Austria 9 173 1.6× 129 1.2× 29 0.5× 14 0.3× 20 0.5× 18 404

Countries citing papers authored by Daqing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Daqing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daqing Yang

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

All Works

16 of 16 papers shown
1.
Cai, Li‐Qun, et al.. (2024). Establishing and clinically validating a machine learning model for predicting unplanned reoperation risk in colorectal cancer. World Journal of Gastroenterology. 30(23). 2991–3004. 1 indexed citations
2.
Yang, Daqing, et al.. (2024). Automatic Thyroid Nodule Detection in Ultrasound Imaging With Improved YOLOv5 Neural Network. IEEE Access. 12. 22662–22670. 6 indexed citations
3.
Li, Wencai, Daqing Yang, Chao Ma, & Lei Liu. (2023). Identifying novel disease categories through divergence optimization: An approach to prevent misdiagnosis in medical imaging. Computers in Biology and Medicine. 165. 107403–107403. 2 indexed citations
4.
Wang, Jinghan, et al.. (2023). Mechanistic insights into the allosteric inactivation mechanism of ZAP-70 induced by the hot spot W165C mutation. Journal of Biomolecular Structure and Dynamics. 42(14). 7600–7609. 4 indexed citations
5.
Xia, Jianfu, Zhifei Wang, Daqing Yang, et al.. (2022). Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis. Computers in Biology and Medicine. 143. 105206–105206. 80 indexed citations breakdown →
6.
Lyu, Juan, Sai Ho Ling, Jukuan Zheng, et al.. (2021). Ultrasound volume projection image quality selection by ranking from convolutional RankNet. Computerized Medical Imaging and Graphics. 89. 101847–101847. 13 indexed citations
7.
Xia, Jianfu, Daqing Yang, Hong Zhou, et al.. (2021). Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm. Computers in Biology and Medicine. 141. 105137–105137. 79 indexed citations
8.
Yang, Daqing, et al.. (2020). <p>Long Noncoding RNA PCAT18 Upregulates SPRR3 to Promote Colorectal Cancer Progression by Binding to miR-759</p>. Cancer Management and Research. Volume 12. 11445–11452. 7 indexed citations
9.
Yang, Daqing, et al.. (2020). Development of an Immune Infiltration‐Related Eight‐Gene Prognostic Signature in Colorectal Cancer Microenvironment. BioMed Research International. 2020(1). 2719739–2719739. 22 indexed citations
10.
Yang, Daqing, et al.. (2018). Long noncoding RNA lncBRM promotes proliferation and invasion of colorectal cancer by sponging miR-204-3p and upregulating TPT1. Biochemical and Biophysical Research Communications. 508(4). 1259–1263. 18 indexed citations
11.
Yang, Daqing, et al.. (2018). miR‑3666 suppresses cellular proliferation and invasion in colorectal cancer by targeting SATB2. Molecular Medicine Reports. 18(6). 4847–4854. 8 indexed citations
12.
He, Kai, Xuegang Li, Yubo Xiao, et al.. (2016). Hypolipidemic effects of Myrica rubra extracts and main compounds in C57BL/6j mice. Food & Function. 7(8). 3505–3515. 15 indexed citations
13.
Yang, Fang�, et al.. (2015). Ellagic acid regulates Wnt/β-catenin signaling pathway and CDK8 in HCT 116 and HT 29 colon cancer cells. Bangladesh Journal of Pharmacology. 10(1). 9 indexed citations
14.
Yang, Daqing, et al.. (2013). Pre-treatment with Mycobacterium avium-derived lipids reduces the macrophage response to interferon γ in BCG-vaccinated mice. Journal of Medical Microbiology. 62(7). 980–987. 3 indexed citations
15.
Yang, Daqing, et al.. (2009). ATM protein kinase mediates full activation of AKT and regulates glucose uptake in response to insulin in muscle cells. Canadian Journal of Diabetes. 33(3). 318–318. 1 indexed citations
16.

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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