H. C. Shi

791 total citations
7 papers, 8 citations indexed

About

H. C. Shi is a scholar working on Artificial Intelligence, Pharmacology and Information Systems. According to data from OpenAlex, H. C. Shi has authored 7 papers receiving a total of 8 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Pharmacology and 2 papers in Information Systems. Recurrent topics in H. C. Shi's work include Fungal Biology and Applications (2 papers), AI and Big Data Applications (1 paper) and Emotion and Mood Recognition (1 paper). H. C. Shi is often cited by papers focused on Fungal Biology and Applications (2 papers), AI and Big Data Applications (1 paper) and Emotion and Mood Recognition (1 paper). H. C. Shi collaborates with scholars based in China and Poland. H. C. Shi's co-authors include Jianya Ling, Zan Gao, Zhongyu Li, Guoying Zhang, Xiaojin Liu, Chenyu Wang, Wentao Ma, Jiaxin Yu, Kejian Li and Badong Chen and has published in prestigious journals such as Carbohydrate Research, Signal Processing and Journal of Pharmaceutical and Biomedical Analysis.

In The Last Decade

H. C. Shi

3 papers receiving 7 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
H. C. Shi China 2 3 1 1 1 1 7 8
S. Leo Australia 1 3 1.0× 1 1.0× 2 5
Yasir Ali Pakistan 2 3 1.0× 3 3
Tauno Laine Finland 1 3 1.0× 2 3
T. Ke China 2 3 1.0× 3 6
Serge Sheremetiev Russia 1 3 1.0× 2 3
Enli Wang Australia 2 4 1.3× 2 8
Y. J. Xiao China 2 4 1.3× 7 9
W. S. Ahmed Pakistan 3 4 1.3× 6 9

Countries citing papers authored by H. C. Shi

Since Specialization
Citations

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

Fields of papers citing papers by H. C. Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. C. Shi. 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 H. C. Shi. The network helps show where H. C. Shi may publish in the future.

Co-authorship network of co-authors of H. C. Shi

This figure shows the co-authorship network connecting the top 25 collaborators of H. C. Shi. A scholar is included among the top collaborators of H. C. Shi 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 H. C. Shi. H. C. Shi 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
1.
Gao, Zan, et al.. (2025). Applications of E-nose, GC-MS, and GC-IMS in tea volatile components analysis. Journal of Food Composition and Analysis. 149. 108764–108764.
2.
Shi, H. C., et al.. (2025). Dynamic VOC fingerprinting and mechanistic exploration of medicinal edible fungus Inonotus hispidus: A combination of HS-GC-IMS/MS multivariate analysis and network-based pharmacology. Journal of Pharmaceutical and Biomedical Analysis. 265. 117009–117009. 2 indexed citations
3.
Gao, Zan, Xiaojin Liu, Zhongyu Li, et al.. (2025). Structural basis of immunomodulation by edible fungal polysaccharides: From molecular characteristics to action mechanisms. Carbohydrate Research. 555. 109591–109591. 5 indexed citations
4.
Shi, H. C., et al.. (2025). Research on Evaluation of Hotel Digitization Effect Assisted by Extreme Learning Machine in Artificial Intelligence Environment. International Journal of High Speed Electronics and Systems.
6.
Shi, H. C.. (2025). Adaptive Learning in Vocational Education: AI-Powered Content Recommendations. International Journal of High Speed Electronics and Systems.
7.
Ma, Wentao, H. C. Shi, Chenyu Wang, & Badong Chen. (2024). Variational Bayesian EnKF with generalized mixture correntropy loss based dynamic state estimation for DFIG. Signal Processing. 230. 109838–109838. 1 indexed citations

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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