Weiqi Xia

503 citations
10 papers · 385 · h-index 7

Impact in

Papers in

    • Machine Learning in Bioinformatics 3
    • RNA and protein synthesis mechanisms 3
    • Bioinformatics and Genomic Networks 2
    • Energy, Environment, Economic Growth 2
    • Climate Change Policy and Economics 1

Weiqi Xia

9 papers receiving 381 citations

Peers

Weiqi Xia
Comparison fields: 5 of 95
  • Computational Theory and Mathematics 64
  • Cancer Research 53
  • Molecular Biology 242
  • Health Informatics 3
  • Spectroscopy 27
Replace Ammar Ammar with:
Ammar Ammar Netherlands
Guillermo de Anda‐Jáuregui Mexico
Enrico Capobianco United States
Reiji Teramoto Japan
Pedro Lopes Portugal
Jyothi Subramanian India
Lihang Liu China
Susmita Datta United States
Philip Ma United States
Ryo Okuyama Japan
Weiqi Xia relative to Ammar Ammar Netherlands Ammar Ammar's profile →
Citations per field
00.5×2.6×
Ammar Ammar · 1×
Citations per year

Countries citing papers authored by Weiqi Xia

Since Specialization
Citations

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

Fields of papers citing papers by Weiqi Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2020162
2 202256
3 202438
4 202338
5 202236
6 202331
7 202221
8 20192
9 20221
10 20250

About Weiqi Xia

Weiqi Xia is a scholar working on Molecular Biology, Economics and Econometrics, Surgery, Political Science and International Relations and Nephrology, having authored 10 papers that have together received 385 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (3 papers), RNA and protein synthesis mechanisms (3 papers), Bioinformatics and Genomic Networks (2 papers), Energy, Environment, Economic Growth (2 papers), Peptidase Inhibition and Analysis (1 paper), Land Rights and Reforms (1 paper), Climate Change Policy and Economics (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Computational Theory and Mathematics (64 citations), Cancer Research (53 citations), Molecular Biology (242 citations), Health Informatics (3 citations) and Spectroscopy (27 citations). Weiqi Xia has collaborated with scholars based in China and India. Frequent co-authors include Honglin Li, Feng Zhu, Fengcheng Li, Yunxia Wang, Ying Zhang, Ying Zhou, Qingxia Yang, Yunqing Qiu, Sufeng Li and Zhaorong Li. Their work appears in journals such as Nucleic Acids Research, Sustainability, BMC Medical Informatics and Decision Making, Computers in Biology and Medicine and Genome biology.

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