Xin Tian

923 citations
20 papers · 726 indexed · 1 hit paper · h-index 8

Xin Tian

17 papers receiving 715 citations

Hit Papers

Chaos enhanced grey wolf optimization wrapped ELM for dia...278201820262020202350100150200250

Peers

Xin Tian
Comparison fields: 5 of 122
  • Artificial Intelligence 329
  • Obstetrics and Gynecology 69
  • Radiology, Nuclear Medicine and Imaging 140
  • Health Information Management 23
  • Computer Vision and Pattern Recognition 99
Replace Yung‐Hsiang Hung with:
Yung‐Hsiang Hung Taiwan
Hanen Karamti Saudi Arabia
Md. Sakib Bin Alam Bangladesh
Chunling Chen China
Ishfaq Yaseen Saudi Arabia
Dildar Hussain South Korea
Maria Habib Jordan
Vatsala Anand India
Paul Trundle United Kingdom
Xin Tian relative to Yung‐Hsiang Hung Taiwan Yung‐Hsiang Hung's profile →
Citations per field
00.5×9.9×
Yung‐Hsiang Hung · 1×
Citations per year

Countries citing papers authored by Xin Tian

Since Specialization
Citations

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

Fields of papers citing papers by Xin Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Xin Tian, 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 Xin Tian Line = papers co-authored together Xin Tian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20258
3 20251
4 20250
5 20231
6 20234
7 202224
8 20227
9 20227
10 20226
11 20211
12 202025
13 201979
14 20191
15
Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patientsbreakdown →
2018278
16 2017249
17 201613
18 20159
19 20136
20
Application of Scale Invariant Feature Transformation to SAR Imagery Registration
20087

About Xin Tian

Xin Tian is a scholar working on Obstetrics and Gynecology, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 20 papers that have together received 726 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Endometrial and Cervical Cancer Treatments (4 papers), Advanced Neural Network Applications (4 papers), Autonomous Vehicle Technology and Safety (3 papers), MRI in cancer diagnosis (2 papers), Cervical Cancer and HPV Research (2 papers) and Vehicle License Plate Recognition (2 papers). The work is most often cited by research in Artificial Intelligence (329 citations), Obstetrics and Gynecology (69 citations) and Radiology, Nuclear Medicine and Imaging (140 citations). Xin Tian has collaborated with scholars based in China, Canada and Taiwan. Frequent co-authors include Huiling Chen, Xuehua Zhao, Ying Huang, Lufeng Hu, Zhennao Cai, Xiang Zhang, Xianqin Wang, Hui Huang, Wenbin Liu and Changfei Tong. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Energy.

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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