Min Hua

91 total papers · 969 total citations
56 papers, 661 citations indexed

About

Min Hua is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Min Hua has authored 56 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Electrical and Electronic Engineering, 20 papers in Computer Networks and Communications and 6 papers in Aerospace Engineering. Recurrent topics in Min Hua's work include Advanced MIMO Systems Optimization (14 papers), IoT Networks and Protocols (10 papers) and Advanced Wireless Communication Techniques (9 papers). Min Hua is often cited by papers focused on Advanced MIMO Systems Optimization (14 papers), IoT Networks and Protocols (10 papers) and Advanced Wireless Communication Techniques (9 papers). Min Hua collaborates with scholars based in China, United States and United Kingdom. Min Hua's co-authors include Mao Wang, Jun Zou, Wenjie Yang, Xiaohu You, Wen Zhou, Yi‐Han Xu, Tingting Xia, Chengcheng Yang, Jingjing Zhang and Jingjing Zhang and has published in prestigious journals such as Applied Physics Letters, Physical Chemistry Chemical Physics and IEEE Communications Surveys & Tutorials.

In The Last Decade

Min Hua

43 papers receiving 641 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Min Hua	493	333	90	80	49	56	661
Erik Aguirre	502 1.0×	239 0.7×	170 1.9×	93 1.2×	25 0.5×	71	753
Norman Franchi	488 1.0×	339 1.0×	60 0.7×	71 0.9×	69 1.4×	83	645
Khairun Nidzam Ramli	453 0.9×	173 0.5×	54 0.6×	166 2.1×	34 0.7×	62	605
Paul Richardson	432 0.9×	244 0.7×	36 0.4×	81 1.0×	78 1.6×	46	620
Seung‐Woo Ko	365 0.7×	300 0.9×	98 1.1×	115 1.4×	24 0.5×	53	739
Domenico Garlisi	448 0.9×	427 1.3×	92 1.0×	37 0.5×	21 0.4×	63	731
Tingting Yuan	324 0.7×	186 0.6×	75 0.8×	38 0.5×	18 0.4×	64	604
Azlan Awang	312 0.6×	404 1.2×	88 1.0×	99 1.2×	16 0.3×	52	606
Eirini Karapistoli	282 0.6×	383 1.2×	58 0.6×	62 0.8×	27 0.6×	37	595
Xiaohui Zhao	425 0.9×	253 0.8×	48 0.5×	86 1.1×	11 0.2×	64	632

Countries citing papers authored by Min Hua

Since Specialization

Citations

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

Fields of papers citing papers by Min Hua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Min Hua. A scholar is included among the top collaborators of Min Hua 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 Min Hua. Min Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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