Yanqi Huang

5.2k total citations · 2 hit papers
54 papers, 3.9k citations indexed

About

Yanqi Huang is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yanqi Huang has authored 54 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Oncology and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yanqi Huang's work include Radiomics and Machine Learning in Medical Imaging (37 papers), Colorectal Cancer Surgical Treatments (13 papers) and Colorectal Cancer Treatments and Studies (9 papers). Yanqi Huang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (37 papers), Colorectal Cancer Surgical Treatments (13 papers) and Colorectal Cancer Treatments and Studies (9 papers). Yanqi Huang collaborates with scholars based in China, United States and Netherlands. Yanqi Huang's co-authors include Zaiyi Liu, Changhong Liang, Cuishan Liang, Zelan Ma, Lan He, Jie Tian, Xin Chen, Xin Chen, Dan Pan and Lan He and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Yanqi Huang

51 papers receiving 3.8k citations

Hit Papers

2 papers align trajectories

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.

Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer

2016 1.3k citations Yanqi Huang, Changhong Liang et al. Journal of Clinical Oncology profile →
Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non—Small Cell Lung Cancer

2016 582 citations Yanqi Huang, Zaiyi Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yanqi Huang China	24	3.1k	1.4k	1.1k	769	515	54	3.9k
Ruben T. H. M. Larue Netherlands	12	4.0k 1.3×	1.6k 1.1×	920 0.9×	1.1k 1.5×	601 1.2×	14	4.6k
Zelan Ma China	12	2.3k 0.7×	1.1k 0.8×	795 0.8×	630 0.8×	454 0.9×	18	2.8k
Cuishan Liang China	11	2.2k 0.7×	1.0k 0.7×	755 0.7×	610 0.8×	400 0.8×	14	2.7k
Ruud G.P.M. van Stiphout Netherlands	17	4.4k 1.4×	1.9k 1.3×	1.4k 1.4×	1.1k 1.4×	878 1.7×	22	5.6k
Stephanie Tanadini‐Lang Switzerland	36	3.0k 1.0×	2.1k 1.5×	599 0.6×	812 1.1×	387 0.8×	163	4.7k
Catharina M.L. Zegers Netherlands	22	4.5k 1.4×	1.8k 1.3×	956 0.9×	1.2k 1.6×	541 1.1×	56	5.5k
Michaël Soussan France	31	2.1k 0.7×	1.6k 1.1×	677 0.6×	533 0.7×	583 1.1×	98	4.0k
Lale Umutlu Germany	38	3.4k 1.1×	1.3k 0.9×	1.0k 1.0×	428 0.6×	751 1.5×	273	5.2k
Samy Ammari France	30	1.9k 0.6×	1.4k 1.0×	2.7k 2.6×	465 0.6×	524 1.0×	114	4.6k
Erich P. Huang United States	16	1.7k 0.5×	978 0.7×	974 0.9×	315 0.4×	400 0.8×	38	3.1k

Countries citing papers authored by Yanqi Huang

Since Specialization

Citations

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

Fields of papers citing papers by Yanqi Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanqi Huang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Jun, et al.. (2025). Tailoring SERS sensitivity in AgNWs-ZIF-67 substrates: Effects of MOF thickness and probe-pore size matching. Talanta. 287. 127624–127624. 7 indexed citations

Huang, Yanqi, Zhihong Chen, Zhongqiu Lin, et al.. (2025). Multi-phase feature-aligned fusion model for automated colorectal cancer segmentation in contrast-enhanced CT scans. Expert Systems with Applications. 284. 127727–127727.

Xie, Chenyi, Ziyu Ning, Ting Guo, et al.. (2025). Multimodal data integration for biologically-relevant artificial intelligence to guide adjuvant chemotherapy in stage II colorectal cancer. EBioMedicine. 117. 105789–105789. 4 indexed citations

Huang, Yanqi, Guoqiang Han, Zhenwei Shi, et al.. (2024). FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification. IEEE Transactions on Cybernetics. 54(12). 7851–7864. 6 indexed citations

Fan, Sijia, Zeyan Xu, Zhen Fang, et al.. (2024). MRI radiomics and biological correlations for predicting axillary lymph node burden in early-stage breast cancer. Journal of Translational Medicine. 22(1). 826–826. 7 indexed citations

Xu, Zeyan, Ke Zhao, Lujun Han, et al.. (2021). Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer. Precision Clinical Medicine. 4(2). 119–128. 1 indexed citations

Zhu, Yaxi, Huan Lin, Shenyan Zhang, et al.. (2021). The value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control study. BMC Cancer. 21(1). 729–729. 11 indexed citations

Zhao, Ke, Xiaomei Wu, Zhenhui Li, et al.. (2021). Prognostic value of a modified Immunosocre in patients with stage I−III resectable colon cancer. Chinese Journal of Cancer Research. 33(3). 379–390. 7 indexed citations

Xu, Zeyan, Yong Li, Yingyi Wang, et al.. (2021). A deep learning quantified stroma-immune score to predict survival of patients with stage II–III colorectal cancer. Cancer Cell International. 21(1). 585–585. 24 indexed citations

10.

Wu, Xiaomei, Yajun Li, Xin Chen, et al.. (2020). Deep Learning Features Improve the Performance of a Radiomics Signature for Predicting KRAS Status in Patients with Colorectal Cancer. Academic Radiology. 27(11). e254–e262. 48 indexed citations

11.

He, Lan, et al.. (2019). Radiomics-based predictive risk score: A scoring system for preoperatively predicting risk of lymph node metastasis in patients with resectable non-small cell lung cancer. Chinese Journal of Cancer Research. 31(4). 641–652. 32 indexed citations

12.

Huang, Xiaomei, Zixuan Cheng, Yanqi Huang, et al.. (2018). CT-based Radiomics Signature to Discriminate High-grade From Low-grade Colorectal Adenocarcinoma. Academic Radiology. 25(10). 1285–1297. 50 indexed citations

13.

Song, Jiangdian, Jingyun Shi, Di Dong, et al.. (2018). A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI Therapy. Clinical Cancer Research. 24(15). 3583–3592. 149 indexed citations

14.

Liang, Cuishan, Cuishan Liang, Yanqi Huang, et al.. (2018). An MRI-based Radiomics Classifier for Preoperative Prediction of Ki-67 Status in Breast Cancer. Academic Radiology. 25(9). 1111–1117. 82 indexed citations

15.

He, Lan, Yanqi Huang, Zelan Ma, et al.. (2017). A CT-based radiomics analysis for clinical staging of non-small cell lung cancer. Zhonghua fangshexian yixue zazhi. 51(12). 906–911. 3 indexed citations

16.

Huang, Yanqi, Changhong Liang, Lan He, et al.. (2016). Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer. Journal of Clinical Oncology. 34(18). 2157–2164. 1347 indexed citations breakdown →

17.

Liang, Cuishan, Yanqi Huang, Lan He, et al.. (2016). The development and validation of a CT-based radiomics signature for the preoperative discrimination of stage I-II and stage III-IV colorectal cancer. Oncotarget. 7(21). 31401–31412. 139 indexed citations

18.

Ma, Zelan, Changhong Liang, Yanqi Huang, et al.. (2016). Can lymphovascular invasion be predicted by preoperative multiphasic dynamic CT in patients with advanced gastric cancer?. European Radiology. 27(8). 3383–3391. 41 indexed citations

19.

He, Lan, Yanqi Huang, Zelan Ma, et al.. (2016). Effects of contrast-enhancement, reconstruction slice thickness and convolution kernel on the diagnostic performance of radiomics signature in solitary pulmonary nodule. Scientific Reports. 6(1). 34921–34921. 201 indexed citations

20.

Yan, Lifen, et al.. (2015). Angiomyolipoma with Minimal Fat. Academic Radiology. 22(9). 1115–1121. 85 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.

Explore authors with similar magnitude of impact