Haoming Li

864 citations
67 papers · 609 indexed · h-index 13
Topics
Advanced Memory and Neural Computing (10 papers)Ferroelectric and Negative Capacitance Devices (9 papers)Advanced MIMO Systems Optimization (7 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Haoming Li

58 papers receiving 598 citations

Peers

Haoming Li
Comparison fields: 5 of 69
  • Electrical and Electronic Engineering 416
  • Computer Networks and Communications 117
  • Mechanical Engineering 69
  • Electronic, Optical and Magnetic Materials 69
  • Materials Chemistry 52
Replace Iliana Marinova with:
Iliana Marinova Bulgaria
Daniel Pantuso United States
H. Kurino Japan
Ji-Hoon Yun South Korea
Qingyuan Liu China
Sangmin Kim South Korea
Naoya Watanabe Japan
Shih-Chieh Chang Taiwan
Guowei Zhang China
Haoming Li relative to Iliana Marinova Bulgaria Iliana Marinova's profile →
Citations per field
00.5×5.3×
Iliana Marinova · 1×
Citations per year

Countries citing papers authored by Haoming Li

Since Specialization
Citations

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

Fields of papers citing papers by Haoming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoming Li

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 4
5 2
6 2
7 0
8 7
9 5
10 29
11 13
12 0
13 2
14 5
15 2
16 2
17 9
18 5
19 13
20 1

About Haoming Li

Haoming Li is a scholar working on Electrical and Electronic Engineering, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 67 papers that have together received 609 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and Advanced MIMO Systems Optimization (7 papers). The work is most often cited by research in Electrical and Electronic Engineering (416 citations), Computer Networks and Communications (117 citations) and Electronic, Optical and Magnetic Materials (69 citations). Haoming Li has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Victor C. M. Leung, Alireza Attar, Chunzhong Wang, Fangxin Liu, Yingjin Wei, Li Jiang, Kai Zhu, Fei Du, Yongquan Zhang and Yuming Jin. Their work appears in journals such as Nature Communications, Advanced Functional Materials and Carbon.

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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