Dianning He

522 total citations
32 papers, 341 citations indexed

About

Dianning He is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dianning He has authored 32 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Biomedical Engineering and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dianning He's work include Radiomics and Machine Learning in Medical Imaging (10 papers), MRI in cancer diagnosis (10 papers) and Non-Invasive Vital Sign Monitoring (7 papers). Dianning He is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), MRI in cancer diagnosis (10 papers) and Non-Invasive Vital Sign Monitoring (7 papers). Dianning He collaborates with scholars based in China, United States and Mexico. Dianning He's co-authors include Shouliang Qi, Xiaobing Fan, Chen Li, Minglun Li, Gregory S. Karczmar, Aritrick Chatterjee, Aytekin Oto, Tatjana Antic, Lisheng Xu and Ambereen Yousuf and has published in prestigious journals such as PLoS ONE, IEEE Access and American Journal of Roentgenology.

In The Last Decade

Dianning He

31 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dianning He China 10 146 103 91 52 44 32 341
A. Takigami United States 3 90 0.6× 177 1.7× 73 0.8× 137 2.6× 16 0.4× 7 411
Chiara Marzi Italy 13 180 1.2× 135 1.3× 62 0.7× 46 0.9× 35 0.8× 32 435
Yande Ren China 10 120 0.8× 78 0.8× 36 0.4× 21 0.4× 22 0.5× 36 306
Cota Navin Gupta India 13 121 0.8× 288 2.8× 229 2.5× 33 0.6× 125 2.8× 44 663
Jiance Li China 13 295 2.0× 94 0.9× 108 1.2× 36 0.7× 20 0.5× 29 511
Aya Khalaf United States 10 46 0.3× 203 2.0× 28 0.3× 50 1.0× 104 2.4× 29 314
Florian Dubost Netherlands 11 130 0.9× 74 0.7× 41 0.5× 35 0.7× 13 0.3× 16 419
Inas A. Yassine Egypt 9 150 1.0× 143 1.4× 28 0.3× 60 1.2× 110 2.5× 33 394
Yosuke Sato Japan 12 58 0.4× 136 1.3× 56 0.6× 48 0.9× 31 0.7× 48 413

Countries citing papers authored by Dianning He

Since Specialization
Citations

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

Fields of papers citing papers by Dianning He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dianning He

This figure shows the co-authorship network connecting the top 25 collaborators of Dianning He. A scholar is included among the top collaborators of Dianning 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 Dianning He. Dianning 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.
He, Dianning, Xin Zhang, Zhihui Chang, Zhaoyu Liu, & Beibei Li. (2024). Survival time prediction in patients with high-grade serous ovarian cancer based on 18F-FDG PET/CT- derived inter-tumor heterogeneity metrics. BMC Cancer. 24(1). 337–337. 3 indexed citations
3.
He, Dianning, et al.. (2024). Neuroimage analysis using artificial intelligence approaches: a systematic review. Medical & Biological Engineering & Computing. 62(9). 2599–2627. 7 indexed citations
4.
He, Dianning, et al.. (2023). Cortical surface analysis for focal cortical dysplasia diagnosis by using PET images. Heliyon. 10(1). e23605–e23605. 1 indexed citations
5.
He, Dianning, et al.. (2023). Functional and effective connectivity analysis of drug-resistant epilepsy: a resting-state fMRI analysis. Frontiers in Neuroscience. 17. 1163111–1163111. 9 indexed citations
6.
Chatterjee, Aritrick, et al.. (2023). A radiomics based method for prediction of prostate cancer Gleason score using enlarged region of interest. BMC Medical Imaging. 23(1). 205–205. 5 indexed citations
7.
Yue, Yong, et al.. (2023). A hybrid few-shot multiple-instance learning model predicting the aggressiveness of lymphoma in PET/CT images. Computer Methods and Programs in Biomedicine. 243. 107872–107872. 3 indexed citations
8.
He, Dianning, et al.. (2021). Epileptogenic Zone Localization in Refractory Epilepsy by FDG-PET: The Comparison of SPM and SPM-CAT With Different Parameter Settings. Frontiers in Neurology. 12. 724680–724680. 6 indexed citations
9.
He, Dianning, et al.. (2020). Deep Learning Based Analysis of Breast Cancer Using Advanced Ensemble Classifier and Linear Discriminant Analysis. IEEE Access. 8. 120208–120217. 30 indexed citations
10.
He, Dianning, Xiaobing Fan, Aritrick Chatterjee, et al.. (2019). A compact solution for estimation of physiological parameters from ultrafast prostate dynamic contrast enhanced MRI. Physics in Medicine and Biology. 64(15). 155012–155012. 4 indexed citations
11.
Chatterjee, Aritrick, Alexander J. Gallan, Dianning He, et al.. (2019). Revisiting quantitative multi-parametric MRI of benign prostatic hyperplasia and its differentiation from transition zone cancer. Abdominal Radiology. 44(6). 2233–2243. 28 indexed citations
12.
Wang, Shiyang, Xiaobing Fan, Milica Medved, et al.. (2019). Use of Indicator Dilution Principle to Evaluate Accuracy of Arterial Input Function Measured With Low-Dose Ultrafast Prostate Dynamic Contrast-Enhanced MRI. Tomography. 5(2). 260–265. 1 indexed citations
13.
Qi, Shouliang, Bo Zhang, Dianning He, et al.. (2019). Connectome-Based Biomarkers Predict Subclinical Depression and Identify Abnormal Brain Connections With the Lateral Habenula and Thalamus. Frontiers in Psychiatry. 10. 371–371. 46 indexed citations
14.
He, Dianning, Devkumar Mustafi, Xiaobing Fan, et al.. (2018). Magnetic resonance spectroscopy detects differential lipid composition in mammary glands on low fat, high animal fat versus high fructose diets. PLoS ONE. 13(1). e0190929–e0190929. 7 indexed citations
15.
He, Dianning, Lisheng Xu, Wei Qian, James S. Clarke, & Xiaobing Fan. (2018). A simulation study comparing nine mathematical models of arterial input function for dynamic contrast enhanced MRI to the Parker model. Australasian Physical & Engineering Sciences in Medicine. 41(2). 507–518. 3 indexed citations
16.
He, Dianning, Aritrick Chatterjee, Xiaobing Fan, et al.. (2018). Feasibility of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Using Low-Dose Gadolinium. Investigative Radiology. 53(10). 609–615. 16 indexed citations
17.
Chatterjee, Aritrick, Dianning He, Xiaobing Fan, et al.. (2017). Performance of Ultrafast DCE-MRI for Diagnosis of Prostate Cancer. Academic Radiology. 25(3). 349–358. 32 indexed citations
18.
He, Dianning, Marta Zamora, Aytekin Oto, Gregory S. Karczmar, & Xiaobing Fan. (2017). Comparison of region-of-interest-averaged and pixel-averaged analysis of DCE-MRI data based on simulations and pre-clinical experiments. Physics in Medicine and Biology. 62(18). N445–N459. 5 indexed citations
19.
Xu, Lisheng, et al.. (2014). Morphology variability of radial pulse wave during exercise. Bio-Medical Materials and Engineering. 24(6). 3605–3611. 8 indexed citations
20.
Xu, Lisheng, et al.. (2013). Recent Advance in Non-invasive Continuous Blood Pressure Measurement System. 6(3). 170–178. 2 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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