Xianglu Xiao

1.1k citations
7 papers · 479 indexed · 1 hit paper · h-index 5
Topics
Machine Learning in Materials Science (3 papers)Computational Drug Discovery Methods (3 papers)Machine Learning in Healthcare (2 papers)

In The Last Decade

Xianglu Xiao

6 papers receiving 460 citations

Hit Papers

Weakly Supervised Deep Learning for COVID-19 Infection De...2020202620222024202050100150200250

Peers

Xianglu Xiao
Comparison fields: 5 of 74
  • Radiology, Nuclear Medicine and Imaging 258
  • Artificial Intelligence 243
  • Molecular Biology 127
  • Computational Theory and Mathematics 90
  • Health Informatics 78
Replace Sonya E. Shooshan with:
Sonya E. Shooshan United States
Po‐Ting Lai Taiwan
Junxin Li China
Jialun Wu China
Blessing Ogbuokiri South Africa
Zequan Liu China
Julian Matschinske Germany
Shengyu Liu China
Payal Chandak United States
Xianglu Xiao relative to Sonya E. Shooshan United States Sonya E. Shooshan's profile →
Citations per field
00.5×
Sonya E. Shooshan · 1×
Citations per year

Countries citing papers authored by Xianglu Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Xianglu Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianglu Xiao

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 2
2 0
3 16
4 51
5 39
6 95
7
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Imagesbreakdown →
276

About Xianglu Xiao

Xianglu Xiao is a scholar working on Health Informatics, Computational Theory and Mathematics and Pharmacology, having authored 7 papers that have together received 479 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (3 papers), Computational Drug Discovery Methods (3 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Health Informatics (78 citations), Radiology, Nuclear Medicine and Imaging (258 citations) and Artificial Intelligence (243 citations). Xianglu Xiao has collaborated with scholars based in China, United Kingdom and Norway. Frequent co-authors include Zhangming Niu, Evandro Fei Fang, Yinghui Jiang, Guang Yang, Shaoping Hu, Jun Xia, Yuan Gao, Minhao Wang, Wade Menpes-Smith and Li Lao. Their work appears in journals such as Bioinformatics, IEEE Access and Briefings in Bioinformatics.

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

Rankless by CCL
2026