Ke Nie

3.1k citations
81 papers · 2.4k · 1 hit paper · h-index 25

Impact in

Papers in

Ke Nie

77 papers receiving 2.4k citations

Ke Nie's Hit Papers

Rectal Cancer: Assessment of Neoadjuvant Chemoradiation Outcome based on Radiomics of Multiparametric MRI 2016 · 325 citations
3250+3+6Years since publication100200300

Peers

Ke Nie
Comparison fields: 5 of 143
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Radiation 277
  • Health Informatics 26
  • Pulmonary and Respiratory Medicine 453
  • Transportation 83
Replace Jing Yuan with:
Jing Yuan Hong Kong
Yi Rong United States
Wei Fan China
Aditya Apte United States
Mikael Karlsson Sweden
Scott Doyle United States
Gilmer Valdés United States
Michael F. Gensheimer United States
Wei Xia China
Jing Cai China
Ke Nie relative to Jing Yuan Hong Kong Jing Yuan's profile →
Citations per field
00.5×2.9×
Jing Yuan · 1×
Citations per year

Countries citing papers authored by Ke Nie

Since Specialization
Citations

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

Fields of papers citing papers by Ke Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ke Nie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ke Nie Line = papers co-authored together Ke Nie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Rectal Cancer: Assessment of Neoadjuvant Chemoradiation Outcome based on Radiomics of Multiparametric MRI
Hit paper breakdown →
2016325
2 2008200
3 2008148
4 2009124
5 2009112
6 202095
7 201989
8 201988
9 200974
10 201371
11 201562
12 200962
13 202357
14 201052
15 201947
16 201039
17 201039
18 201838
19 201033
20 201633

About Ke Nie

Ke Nie is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Radiation, Epidemiology and Transportation, having authored 81 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (13 papers), MRI in cancer diagnosis (12 papers), Medical Imaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Digital Radiography and Breast Imaging (8 papers), Urban Transport and Accessibility (6 papers), Spatial and Panel Data Analysis (6 papers) and Radiation Therapy and Dosimetry (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Radiation (277 citations), Health Informatics (26 citations), Pulmonary and Respiratory Medicine (453 citations) and Transportation (83 citations). Ke Nie has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Min‐Ying Su, Jeon‐Hor Chen, Orhan Nalcioğlu, Hon J. Yu, Ning J. Yue, Liming Shi, Tianye Niu, Xiaonan Sun, Salma K. Jabbour and Shadfar Bahri. Their work appears in journals such as Medical Physics, Frontiers in Oncology, ISPRS International Journal of Geo-Information, Physics in Medicine and Biology and Radiation Oncology.

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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