Huiling Xiang

406 citations
21 papers · 227 · h-index 8

Impact in

Papers in

Huiling Xiang

18 papers receiving 225 citations

Peers

Huiling Xiang
Comparison fields: 5 of 49
  • Radiology, Nuclear Medicine and Imaging 82
  • Health Informatics 5
  • Reproductive Medicine 18
  • Artificial Intelligence 80
  • Oncology 37
Replace Yibo Zhang with:
Yibo Zhang China
Nasrin Ahmadinejad Iran
Ensheng Xue China
Yehang Chen China
Kieran Zucker United Kingdom
Oliver Lester Saldanha Germany
Birgid Schömig‐Markiefka Germany
Bao Feng China
Huiling Xiang relative to Yibo Zhang China Yibo Zhang's profile →
Citations per field
00.5×6.3×
Yibo Zhang · 1×
Citations per year

Countries citing papers authored by Huiling Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Huiling Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202177
2 202432
3 202119
4 202217
5 202314
6 202014
7 20248
8 20197
9 20237
10 20246
11 20246
12 20235
13 20224
14 20244
15 20202
16 20202
17 20252
18 20251
19 20250
20 20250

About Huiling Xiang

Huiling Xiang is a scholar working on Artificial Intelligence, Cancer Research, Oncology, Reproductive Medicine and Pathology and Forensic Medicine, having authored 21 papers that have together received 227 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Ovarian cancer diagnosis and treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Breast Cancer Treatment Studies (2 papers), Breast Lesions and Carcinomas (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (82 citations), Health Informatics (5 citations), Reproductive Medicine (18 citations), Artificial Intelligence (80 citations) and Oncology (37 citations). Huiling Xiang has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Xi Lin, Hao Chen, Xi Wang, Huangjing Lin, Pheng‐Ann Heng, Lixian Liu, Xiaojing Zheng, Pingping Liu, Xin An and Anhua Li. Their work appears in journals such as Frontiers in Immunology, Cancer Medicine, The Journal of Pathology, BMC Cancer and EClinicalMedicine.

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.

Explore authors with similar magnitude of impact