Ni He

951 total citations
47 papers, 672 citations indexed

About

Ni He is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Ni He has authored 47 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Artificial Intelligence. Recurrent topics in Ni He's work include Stock Market Forecasting Methods (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Breast Cancer Treatment Studies (7 papers). Ni He is often cited by papers focused on Stock Market Forecasting Methods (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Breast Cancer Treatment Studies (7 papers). Ni He collaborates with scholars based in China, United States and United Kingdom. Ni He's co-authors include Hujun Yin, Peihong Wu, Ning Lv, Changchuan Pan, Chuanmiao Xie, Sheng Li, Yanan Kong, Zhi-Mei Huang, Ming Zhao and Wang Li and has published in prestigious journals such as Neurology, Optics Express and Expert Systems with Applications.

In The Last Decade

Ni He

42 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ni He China 16 274 131 119 110 100 47 672
Wentian Guo China 10 255 0.9× 68 0.5× 85 0.7× 105 1.0× 70 0.7× 15 516
Eric B. Durbin United States 21 115 0.4× 251 1.9× 330 2.8× 303 2.8× 48 0.5× 73 1.4k
Mousumi Pal India 17 80 0.3× 61 0.5× 143 1.2× 204 1.9× 27 0.3× 82 1.0k
Miguél Vázquez Spain 20 84 0.3× 81 0.6× 169 1.4× 232 2.1× 35 0.3× 65 1.9k
Jared Katzman United States 3 374 1.4× 182 1.4× 131 1.1× 437 4.0× 20 0.2× 7 1.0k
Payal Soni United States 14 188 0.7× 516 3.9× 283 2.4× 14 0.1× 50 0.5× 51 1.1k
Ruitao Lin United States 17 75 0.3× 64 0.5× 151 1.3× 15 0.1× 305 3.0× 72 1.0k
Chris Harbron United Kingdom 18 34 0.1× 128 1.0× 195 1.6× 57 0.5× 50 0.5× 41 908
Frederick M. Howard United States 16 369 1.3× 125 1.0× 373 3.1× 373 3.4× 10 0.1× 52 1.3k

Countries citing papers authored by Ni He

Since Specialization
Citations

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

Fields of papers citing papers by Ni He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ni He

This figure shows the co-authorship network connecting the top 25 collaborators of Ni He. A scholar is included among the top collaborators of Ni He 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 Ni He. Ni He 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.
2.
Duan, Jiandong, et al.. (2025). Adaptive primary frequency regulation method based on energy perspective for integrated unit-level wind storage systems. International Journal of Electrical Power & Energy Systems. 169. 110822–110822.
3.
Tian, Jing, Ni He, & Yong Chen. (2025). Distinctive Magnetic Resonance Imaging Findings of Cerebral Syphilitic Gummas. Neurology. 105(4). e213944–e213944. 1 indexed citations
4.
Xu, Fanfan, Ni He, Yingjie Ren, et al.. (2024). FOSL1-mediated LINC01566 negatively regulates CD4+ T-cell activation in myasthenia gravis. Journal of Neuroinflammation. 21(1). 197–197.
5.
Zhang, Qin, et al.. (2023). Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms. Economic Modelling. 122. 106204–106204. 9 indexed citations
6.
He, Ni, et al.. (2023). Contextual combinatorial bandit on portfolio management. Expert Systems with Applications. 221. 119677–119677. 3 indexed citations
7.
8.
He, Ni, Chao Liu, Limin Zhai, et al.. (2023). Preparation of injectable porcine skin-derived collagen and its application in delaying skin aging by promoting the adhesion and chemotaxis of skin fibroblasts. International Journal of Biological Macromolecules. 253(Pt 2). 126718–126718. 15 indexed citations
9.
10.
Ma, Jingchen, Ni He, Jin hwan Yoon, et al.. (2021). Distinguishing benign and malignant lesions on contrast-enhanced breast cone-beam CT with deep learning neural architecture search. European Journal of Radiology. 142. 109878–109878. 15 indexed citations
11.
He, Ni, Zhipeng Li, Wei Dai, et al.. (2020). Intravoxel Incoherent Motion Diffusion-Weighted Imaging Used to Detect Prostate Cancer and Stratify Tumor Grade: A Meta-Analysis. Frontiers in Oncology. 10. 1623–1623. 18 indexed citations
12.
Liang, Jianye, Zhipeng Li, Yanan Kong, et al.. (2020). Intravoxel Incoherent Motion Diffusion-Weighted Imaging for Quantitative Differentiation of Breast Tumors: A Meta-Analysis. Frontiers in Oncology. 10. 585486–585486. 30 indexed citations
13.
Meng, Tiebao, Ni He, Haoqiang He, et al.. (2020). The diagnostic performance of quantitative mapping in breast cancer patients: a preliminary study using synthetic MRI. Cancer Imaging. 20(1). 88–88. 43 indexed citations
14.
Liang, Jianye, et al.. (2020). Differentiating the lung lesions using Intravoxel incoherent motion diffusion-weighted imaging: a meta-analysis. BMC Cancer. 20(1). 799–799. 15 indexed citations
15.
He, Ni, Yanan Kong, Ning Lv, et al.. (2015). The utility of breast cone-beam computed tomography, ultrasound, and digital mammography for detecting malignant breast tumors: A prospective study with 212 patients. European Journal of Radiology. 85(2). 392–403. 58 indexed citations
16.
Lv, Ning, Ni He, Chuanmiao Xie, et al.. (2014). Effect of vascular haemoglobin concentrations on ultrasound-guided diffuse optical tomography in differentiating benign from malignant breast lesions. European Radiology. 24(11). 2848–2856. 6 indexed citations
17.
Gao, Fei, Ni He, & Peihong Wu. (2014). The number of tumor-free axillary lymph nodes removed as a prognostic parameter for node-negative breast cancer. Chinese Journal of Cancer. 33(11). 569–73. 3 indexed citations
18.
He, Ni, Chuanmiao Xie, Weidong Wei, et al.. (2012). A new, preoperative, MRI-based scoring system for diagnosing malignant axillary lymph nodes in women evaluated for breast cancer. European Journal of Radiology. 81(10). 2602–2612. 58 indexed citations
19.
He, Ni, et al.. (2011). Multivariate convex support vector regression with semidefinite programming. Knowledge-Based Systems. 30. 87–94. 13 indexed citations
20.
Pan, Changchuan, Peihong Wu, Zilin Huang, et al.. (2011). CT-guided radiofrequency ablation prolonged metastatic survival in patients with liver metastases from nasopharyngeal carcinoma. International Journal of Hyperthermia. 27(6). 549–554. 23 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

Breakdown of academic impact, for papers by Wentian Guo Breakdown of academic impact, for papers by Eric B. Durbin Breakdown of academic impact, for papers by Mousumi Pal Breakdown of academic impact, for papers by Miguél Vázquez Breakdown of academic impact, for papers by Jared Katzman Breakdown of academic impact, for papers by Payal Soni Breakdown of academic impact, for papers by Ruitao Lin Breakdown of academic impact, for papers by Chris Harbron Breakdown of academic impact, for papers by Frederick M. Howard
Rankless by CCL
2026