Haohua Teng

477 citations
28 papers · 301 indexed · h-index 13
Topics
Lung Cancer Diagnosis and Treatment (11 papers)Lung Cancer Treatments and Mutations (10 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Haohua Teng

28 papers receiving 298 citations

Peers

Haohua Teng
Comparison fields: 5 of 49
  • Pulmonary and Respiratory Medicine 172
  • Oncology 92
  • Radiology, Nuclear Medicine and Imaging 75
  • Molecular Biology 61
  • Surgery 59
Replace Niko Kemi with:
Niko Kemi Finland
Binnari Kim South Korea
Dajia Lin China
Urban Simončič Slovenia
Thomas Denize United States
Melissa Randolph United States
Naoe Jimbo Japan
Michèle Orain Canada
Huei‐Chieh Chuang Taiwan
C. Zwarthoed France
Haohua Teng relative to Niko Kemi Finland Niko Kemi's profile →
Citations per field
00.5×1.5×2.5×
Niko Kemi · 1×
Citations per year

Countries citing papers authored by Haohua Teng

Since Specialization
Citations

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

Fields of papers citing papers by Haohua Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haohua Teng

This figure shows the co-authorship network connecting the top 25 collaborators of Haohua Teng. A scholar is included among the top collaborators of Haohua Teng 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 Haohua Teng. Haohua Teng 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
#WorkIndexed citations
1 9
2 2
3 8
4 15
5 21
6 17
7 15
8 14
9 5
10 11
11 17
12 6
13 12
14 1
15 6
16 25
17 12
18 20
19 13
20
The absence of human papillomavirus in esophageal squamous cell carcinoma in East China.
21

About Haohua Teng

Haohua Teng is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 28 papers that have together received 301 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (11 papers), Lung Cancer Treatments and Mutations (10 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (172 citations), Otorhinolaryngology (16 citations) and Cancer Research (51 citations). Haohua Teng has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yuchen Han, Lei Zhu, Chan Xiang, Ruiying Zhao, Jun Zhao, Jie Zhang, Jinchen Shao, Jikai Zhao, Jie Zhang and Lu Zhao. Their work appears in journals such as Journal of Clinical Oncology, Physics in Medicine and Biology and Journal of Clinical Pathology.

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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