Tingting Wang

1.9k total citations
67 papers, 1.2k citations indexed

About

Tingting Wang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Tingting Wang has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Pulmonary and Respiratory Medicine, 21 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Oncology. Recurrent topics in Tingting Wang's work include Lung Cancer Diagnosis and Treatment (26 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Lung Cancer Treatments and Mutations (16 papers). Tingting Wang is often cited by papers focused on Lung Cancer Diagnosis and Treatment (26 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Lung Cancer Treatments and Mutations (16 papers). Tingting Wang collaborates with scholars based in China, United States and France. Tingting Wang's co-authors include Chang Chen, Yunlang She, Dong Xie, Jiajun Deng, Yifan Zhong, Xiwen Sun, Jian Lin, Jian Wang, Chun‐Feng Li and Mengmeng Zhao and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Tingting Wang

61 papers receiving 1.2k citations

Peers

Tingting Wang
Comparison fields: 5 of 108
  • Pulmonary and Respiratory Medicine 576
  • Radiology, Nuclear Medicine and Imaging 458
  • Molecular Biology 229
  • Cancer Research 146
  • Biomedical Engineering 141
Replace Huawei Cai with:
Huawei Cai China
Yasunori Nishida Japan
Tetsuya Shinozaki Japan
Jihua Liu China
Yutao Gong United States
Masahiro Fukushi Japan
Michael F. Reed United States
Tatsuya Kawai Japan
Shinji Yoshinaga Japan
E.R. Watson United Kingdom
Huawei Cai China View profile →
Citations per field, relative to Tingting Wang
Tingting Wang · 1×
Citations per year, relative to Tingting Wang
Tingting Wang · 1×

Countries citing papers authored by Tingting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tingting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Wang. A scholar is included among the top collaborators of Tingting Wang 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 Tingting Wang. Tingting Wang 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
# Work Indexed citations
1 1
2 0
3 0
4 2
5 9
6 3
7 1
8 3
9 15
10 64
11 32
12 2
13 76
14 22
15 18
16 15
17
ECNU at 2018 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine.
4
18 0
19
Resistivity-Temperature Effect and Testing Methods for Carbon Fiber Reinforced Cement-Based Composites
5
20 34

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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