Elric Zhang

746 citations
20 papers · 565 indexed · h-index 8
Topics
Quantum Dots Synthesis And Properties (5 papers)Neuroscience and Neural Engineering (4 papers)Perovskite Materials and Applications (4 papers)

In The Last Decade

Elric Zhang

15 papers receiving 558 citations

Peers

Elric Zhang
Comparison fields: 5 of 57
  • Biomedical Engineering 386
  • Materials Chemistry 184
  • Mechanical Engineering 120
  • Polymers and Plastics 101
  • Electronic, Optical and Magnetic Materials 76
Replace Tong Kang with:
Tong Kang Germany
Mingyu Sang South Korea
Man Hou Vong United States
Hyunchang Park South Korea
Raghav Garg United States
Benjamin Grena United States
Daeyeon Won South Korea
Sera Jeon South Korea
Samuel Lienemann Sweden
Farid Manshaii United States
Elric Zhang relative to Tong Kang Germany Tong Kang's profile →
Citations per field
00.5×2.6×
Tong Kang · 1×
Citations per year

Countries citing papers authored by Elric Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Elric Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elric Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Elric Zhang. A scholar is included among the top collaborators of Elric Zhang 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 Elric Zhang. Elric Zhang 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 2
5 0
6 2
7 10
8 9
9 1
10 0
11 2
12 6
13 31
14 22
15 29
16 6
17 64
18 287
19 93
20
A new subspecies of Alona rectangula Crustacea Diplostraca
1

About Elric Zhang

Elric Zhang is a scholar working on Cellular and Molecular Neuroscience, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 20 papers that have together received 565 indexed citations. Recurring topics across this work include Quantum Dots Synthesis And Properties (5 papers), Neuroscience and Neural Engineering (4 papers) and Perovskite Materials and Applications (4 papers). The work is most often cited by research in Biomedical Engineering (386 citations), Polymers and Plastics (101 citations) and Electronic, Optical and Magnetic Materials (76 citations). Elric Zhang has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Qibing Pei, Roshan Plamthottam, Yu Qiu, Yuan Meng, Sakhrat Khizroev, Wenxin Wang, Jinsong Leng, Ping Liang, Dwayne McDaniel and Marta Pardo. Their work appears in journals such as Nature Communications, Nano Letters and Accounts of Chemical Research.

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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