Ning Situ

511 citations
19 papers · 401 indexed · h-index 10
Topics
Cutaneous Melanoma Detection and Management (11 papers)AI in cancer detection (6 papers)Optical Coherence Tomography Applications (5 papers)

In The Last Decade

Ning Situ

19 papers receiving 388 citations

Peers

Ning Situ
Comparison fields: 5 of 72
  • Oncology 171
  • Artificial Intelligence 131
  • Cognitive Neuroscience 103
  • Epidemiology 88
  • Biomedical Engineering 62
Replace Pedro M. Ferreira with:
Pedro M. Ferreira Portugal
Nadia Gul Pakistan
Hossein Nejati Singapore
Connah Kendrick United Kingdom
Hemprasad Yashwant Patil India
O. Lange United States
Yinghui Liu China
Ebrahim Mohammed Senan Yemen
Leandro E. Di Persia Argentina
Sumaira Kausar Pakistan
Ning Situ relative to Pedro M. Ferreira Portugal Pedro M. Ferreira's profile →
Citations per field
00.5×11.4×
Pedro M. Ferreira · 1×
Citations per year

Countries citing papers authored by Ning Situ

Since Specialization
Citations

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

Fields of papers citing papers by Ning Situ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Situ

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 12
2 21
3 6
4 4
5 39
6 56
7
Melanoma recognition using mid-level features and high-level annotations
1
8 1
9
Assisting Main Task Learning by Heterogeneous Auxiliary Tasks with Applications to Skin Cancer Screening.
2
10 8
11 41
12 5
13 56
14 1
15 54
16 59
17 19
18 14
19 2

About Ning Situ

Ning Situ is a scholar working on Oncology, Biophysics and Media Technology, having authored 19 papers that have together received 401 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (11 papers), AI in cancer detection (6 papers) and Optical Coherence Tomography Applications (5 papers). The work is most often cited by research in Oncology (171 citations), Cognitive Neuroscience (103 citations) and Biophysics (24 citations). Ning Situ has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include George Zouridakis, Xiaojing Yuan, Luca Pollonini, Ji Chen, Roozbeh Rezaie, Rui Hu, Kirk E. Lancaster, A C Papanicolaou, Tanush Wadhawan and José León‐Carrión. Their work appears in journals such as Pattern Recognition, Biomedical Signal Processing and Control and Brain Topography.

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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