Qian Da

621 total citations
24 papers, 314 citations indexed

About

Qian Da is a scholar working on Ocean Engineering, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine. According to data from OpenAlex, Qian Da has authored 24 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ocean Engineering, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Qian Da's work include Enhanced Oil Recovery Techniques (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and AI in cancer detection (4 papers). Qian Da is often cited by papers focused on Enhanced Oil Recovery Techniques (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and AI in cancer detection (4 papers). Qian Da collaborates with scholars based in China, United States and United Kingdom. Qian Da's co-authors include Guanglun Lei, Chuanjin Yao, Yuliang Su, Lei Li, Xue Zhang, Xue Zhang, Zhihui Wang, Songtao Qi, Guozhong Zhang and Liyi Ma and has published in prestigious journals such as Scientific Reports, Applied Energy and Energy.

In The Last Decade

Qian Da

22 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qian Da China 10 129 86 77 63 32 24 314
Weimin Kong China 9 40 0.3× 28 0.3× 52 0.7× 48 0.8× 10 0.3× 28 300
Han Cao China 12 218 1.7× 200 2.3× 206 2.7× 94 1.5× 21 0.7× 39 467
Lihao Liu China 9 46 0.4× 41 0.5× 17 0.2× 30 0.5× 22 0.7× 27 247
Jiajin Liu China 10 101 0.8× 33 0.4× 104 1.4× 30 0.5× 4 0.1× 74 408
Chunlan Li China 13 126 1.0× 83 1.0× 138 1.8× 137 2.2× 39 1.2× 44 539
Yeyu Zhang China 11 71 0.6× 94 1.1× 60 0.8× 97 1.5× 10 0.3× 18 404
Xiaofeng Zhou China 8 128 1.0× 116 1.3× 125 1.6× 18 0.3× 16 0.5× 28 308
Qianjun Chen China 13 37 0.3× 50 0.6× 117 1.5× 126 2.0× 49 1.5× 50 529

Countries citing papers authored by Qian Da

Since Specialization
Citations

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

Fields of papers citing papers by Qian Da

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qian Da

This figure shows the co-authorship network connecting the top 25 collaborators of Qian Da. A scholar is included among the top collaborators of Qian Da 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 Qian Da. Qian Da 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.
Qiao, Xue, Qian Da, Jie Ji, et al.. (2025). Exploring the Impact of Systemic Inflammatory Regulators on Rosacea Risk: A Bidirectional Mendelian Randomization Analysis. Clinical Cosmetic and Investigational Dermatology. Volume 18. 191–200.
2.
Da, Qian, Wenwei Wang, M. Q. Ruan, et al.. (2025). [Progress and challenges of pathological artificial intelligence in the era of large models].. PubMed. 54(3). 305–309. 1 indexed citations
3.
Yan, Fang, Qian Da, Hongmei Yi, et al.. (2024). Artificial intelligence-based assessment of PD-L1 expression in diffuse large B cell lymphoma. npj Precision Oncology. 8(1). 76–76. 7 indexed citations
4.
Xie, Yuzhang, Qingqing Sang, Qian Da, et al.. (2024). Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression. Artificial Intelligence in Medicine. 152. 102871–102871. 5 indexed citations
5.
Da, Qian, et al.. (2024). Surgical intervention of Lemierre’s syndrome: a case report and review of the literature. Journal of Medical Case Reports. 18(1). 265–265. 3 indexed citations
6.
Wang, Xiaosong, Qian Da, Xiaoqiang Liu, et al.. (2023). A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification. Scientific Data. 10(1). 574–574. 30 indexed citations
7.
8.
Da, Qian, Jiahui Li, Hongmei Yi, et al.. (2022). Quantifying the cell morphology and predicting biological behavior of signet ring cell carcinoma using deep learning. Scientific Reports. 12(1). 183–183. 11 indexed citations
9.
Zhang, Xue, Yuliang Su, Lei Li, et al.. (2022). Microscopic remaining oil initiation mechanism and formation damage of CO2 injection after waterflooding in deep reservoirs. Energy. 248. 123649–123649. 39 indexed citations
10.
Da, Qian, et al.. (2022). Investigation on microscopic invasion characteristics and retention mechanism of fracturing fluid in fractured porous media. Petroleum Science. 19(4). 1745–1756. 21 indexed citations
11.
Yao, Chuanjin, et al.. (2022). Kinetic Model and Numerical Simulation of Microbial Growth, Migration, and Oil Displacement in Reservoir Porous Media. ACS Omega. 7(36). 32549–32561. 4 indexed citations
12.
Yi, Hongmei, Anqi Li, Binshen Ouyang, et al.. (2022). Clinicopathological and molecular features of indolent natural killer‐cell lymphoproliferative disorder of the gastrointestinal tract. Histopathology. 82(4). 567–575. 8 indexed citations
13.
Ma, Xin, Ping Song, Licheng Liu, et al.. (2021). Low-temperature pH-regulable gel-breaking of galactomannan-based fracturing fluids by the mannanase from Bacillus aerius. International Biodeterioration & Biodegradation. 160. 105226–105226. 11 indexed citations
14.
Zhang, Li, et al.. (2020). [Gastric adenocarcinoma of the fundic gland type: clinicopathological analysis of six cases].. PubMed. 49(4). 343–347. 4 indexed citations
15.
Li, Hong, Junjie Li, Guozhong Zhang, et al.. (2019). HMGB1-Induced p62 Overexpression Promotes Snail-Mediated Epithelial-Mesenchymal Transition in Glioblastoma Cells via the Degradation of GSK-3β. Theranostics. 9(7). 1909–1922. 72 indexed citations
16.
Ge, Yi‐Jun, Qian Da, & Ying Dai. (2018). Castleman disease of the hyaline vascular variant transforming to POEMS syndrome as endpoint: a case report. BMC Neurology. 18(1). 169–169. 3 indexed citations
17.
Lei, Guanglun, Zhihui Wang, Qian Da, et al.. (2018). Microbial Remediation of Guar-Based Fracturing Fluid Damage. SPE International Conference and Exhibition on Formation Damage Control. 3 indexed citations
18.
Wang, Zhihui, et al.. (2017). Application of Guar Gum Degrading Bacteria in Microbial Remediation of Guar-Based Fracturing Fluid Damage. Energy & Fuels. 31(8). 7894–7903. 31 indexed citations
19.
Da, Qian. (2013). Different levels of pregnancy-induced hypertension affect pregnancy outcomes observed. 1 indexed citations
20.
Da, Qian. (2002). Urban traffic sharing information service platform with data warehouse technique. Zhongguo gonglu xuebao. 1 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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