Zhihua Zhang

1.4k citations
44 papers · 849 indexed · h-index 15

Zhihua Zhang

41 papers receiving 834 citations

Peers

Zhihua Zhang
Comparison fields: 5 of 112
  • Cardiology and Cardiovascular Medicine 447
  • Behavioral Neuroscience 63
  • Endocrine and Autonomic Systems 115
  • Endocrinology, Diabetes and Metabolism 127
  • Social Psychology 80
Replace Wang Ling-lin with:
Wang Ling-lin China
Frank J. Jacono United States
Reena Chopra United Kingdom
Richard E. Klabunde United States
Tomaso Gnecchi‐Ruscone Italy
Anthony H. Vagnucci United States
Dongdong Xie China
Norio Ishii Japan
Andrew Levy United States
Mohammad Reza Raoufy Iran
Zhihua Zhang relative to Wang Ling-lin China Wang Ling-lin's profile →
Citations per field
00.5×1.5×1.8×
Wang Ling-lin · 1×
Citations per year

Countries citing papers authored by Zhihua Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Zhihua Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20230
4 202112
5 20211
6 202035
7 202017
8 20205
9 20185
10 20173
11 201541
12 201424
13 20144
14 20144
15 201121
16
Coherence Functions for Multicategory Margin-based Classification Methods
20096
17
Probabilistic Relational PCA
200913
18
Latent Variable Models for Dimensionality Reduction
20091
19
Investigation on the Infection of Trichomonas Tenax
20092
20 199783

About Zhihua Zhang

Zhihua Zhang is a scholar working on Cardiology and Cardiovascular Medicine, Behavioral Neuroscience and Software, having authored 44 papers that have together received 849 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (5 papers), Cardiac Imaging and Diagnostics (4 papers), Cardiovascular Function and Risk Factors (4 papers), Face and Expression Recognition (4 papers), Receptor Mechanisms and Signaling (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Hormonal Regulation and Hypertension (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (447 citations), Behavioral Neuroscience (63 citations) and Endocrine and Autonomic Systems (115 citations). Zhihua Zhang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Robert B. Felder, Robert M. Weiss, Shun‐Guang Wei, Joseph Francis, Stephen M. Oppenheimer, Wei Liu, Yang Yu, Yu Yang, Alan Kim Johnson and Pingping Bing. Their work appears in journals such as PLoS ONE, Brain Research and Hypertension.

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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