Han Xia

1.7k citations
84 papers · 872 indexed · h-index 17

Han Xia

71 papers receiving 846 citations

Peers

Han Xia
Comparison fields: 5 of 141
  • Molecular Medicine 54
  • Microbiology 7
  • Infectious Diseases 163
  • Epidemiology 292
  • Management Information Systems 71
Replace Aditya Kumar Sharma with:
Aditya Kumar Sharma United States
Maria Pagoni Greece
Thomas Rose Germany
Ying Luo China
Pengcheng Zhou China
Shuying Li China
Rathel Nolan United States
Thomas Holzmann Germany
R. Gupta India
Paul Elkington United Kingdom
Han Xia relative to Aditya Kumar Sharma United States Aditya Kumar Sharma's profile →
Citations per field
00.5×4.1×
Aditya Kumar Sharma · 1×
Citations per year

Countries citing papers authored by Han Xia

Since Specialization
Citations

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

Fields of papers citing papers by Han Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20240
5 20241
6 202415
7 202317
8 20235
9 202343
10 202329
11 20233
12 20231
13 20227
14 20154
15
Improved K-medoids algorithm based on genetic simulated annealing algorithm
20151
16
New Multi-focus Image Fusion Algorithm Based on Wavelet Transform
20140
17
ZigBee Technology and Its Application
20140
18
Credit Risk Assessment in Commercial Banks on Five-class Support Vector Machines Ensemble
20091
19
The Model of Credit Risk Assessment in Commercial Banks on Fuzzy Integral Support Vector Machines Ensemble
20093
20
The improvememnt realization of matrix multiplication that based on rows partition and in DSP
20080

About Han Xia

Han Xia is a scholar working on Microbiology, Molecular Medicine, Clinical Biochemistry, Infectious Diseases and Microbiology, having authored 84 papers that have together received 872 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (7 papers), Bacterial Identification and Susceptibility Testing (7 papers), Antibiotic Resistance in Bacteria (6 papers), Gut microbiota and health (5 papers), Antifungal resistance and susceptibility (5 papers), Advanced Algorithms and Applications (5 papers), Tuberculosis Research and Epidemiology (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). The work is most often cited by research in Molecular Medicine (54 citations), Microbiology (7 citations), Infectious Diseases (163 citations), Epidemiology (292 citations) and Management Information Systems (71 citations). Han Xia has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Andy Neely, Veronica Martinez, Pável Albores, Yuanlin Guan, Zheng Lou, Honglai Liu, Tianyan Chen, Kai Ye, Xin Yan and Xuefeng Yu. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, BMC Infectious Diseases, Microbiology Spectrum, Frontiers in Microbiology and International Journal of Medical Sciences.

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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