Kui Hua

464 citations
22 papers · 228 · h-index 8

Impact in

Papers in

    • Single-cell and spatial transcriptomics 9
    • Genomics and Phylogenetic Studies 3
    • Gene expression and cancer classification 3
    • Gene Regulatory Network Analysis 3
    • Microgrid Control and Optimization 4

Kui Hua

22 papers receiving 219 citations

Peers

Kui Hua
Comparison fields: 5 of 65
  • Energy Engineering and Power Technology 14
  • Biophysics 21
  • Molecular Biology 136
  • Cancer Research 26
  • Immunology 20
Replace Yoshito Tanaka with:
Yoshito Tanaka Japan
Xiaoying Lv China
Siming Zeng China
Jacob H. Swet United States
Saurav Roy Choudhury India
Peng Ding China
Yuzhen Xu China
Julia Höhn Germany
Shihao Zhu China
B. Glock Austria
Kui Hua relative to Yoshito Tanaka Japan Yoshito Tanaka's profile →
Citations per field
00.5×10×20×30×35×
Yoshito Tanaka · 1×
Citations per year

Countries citing papers authored by Kui Hua

Since Specialization
Citations

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

Fields of papers citing papers by Kui Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202165
2 202334
3 202430
4 202117
5 202217
6 202311
7 20218
8 20227
9 20257
10 20196
11 20195
12 20204
13 20194
14 20194
15 20182
16
Effect of Dietary Supplementation Potassium Chloride on the Production Performance and Blood Indicators of Dairy Cows in the Condition of Heat Stress
20101
17 20241
18 20231
19 20241
20 20021

About Kui Hua

Kui Hua is a scholar working on Molecular Biology, Control and Systems Engineering, Biophysics, Electrical and Electronic Engineering and Energy Engineering and Power Technology, having authored 22 papers that have together received 228 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (9 papers), Cell Image Analysis Techniques (6 papers), Microgrid Control and Optimization (4 papers), Smart Grid Energy Management (4 papers), Power Systems and Renewable Energy (4 papers), Genomics and Phylogenetic Studies (3 papers), Gene expression and cancer classification (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (14 citations), Biophysics (21 citations), Molecular Biology (136 citations), Cancer Research (26 citations) and Immunology (20 citations). Kui Hua has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xuegong Zhang, Minsheng Hao, Qingshan Xu, Yongbiao Yang, Chenyu Wu, Rui Jiang, Shujuan Li, Yuanxing Xia, Wing Hung Wong and John C. Marioni. Their work appears in journals such as Bioinformatics, International Journal of Electrical Power & Energy Systems, Quantitative Biology, Electric Power Systems Research and Nature Genetics.

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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