Enming Song

4.8k citations
71 papers · 2.3k indexed · 1 hit paper · h-index 25

Impact in

Papers in

Enming Song

67 papers receiving 2.2k citations

Hit Papers

Materials for flexible bioelectronic systems as chronic neural interfaces 2020 · 358 citations
3582020202620222024100200300

Peers

Enming Song
Comparison fields: 5 of 111
  • Polymers and Plastics 670
  • Cellular and Molecular Neuroscience 833
  • Biomedical Engineering 1.5k
  • Cognitive Neuroscience 329
  • Electrical and Electronic Engineering 847
Replace Sang Min Won with:
Sang Min Won South Korea
Kyoung Won Cho South Korea
Sung‐Hyuk Sunwoo South Korea
Raza Qazi South Korea
Faheem Ershad United States
Yi Lu China
Jiuk Jang South Korea
Wubin Bai United States
Zhoulyu Rao United States
Jun‐Kyul Song South Korea
Enming Song relative to Sang Min Won South Korea Sang Min Won's profile →
Citations per field
00.5×1.5×
Sang Min Won · 1×
Citations per year

Countries citing papers authored by Enming Song

Since Specialization
Citations

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

Fields of papers citing papers by Enming Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202510
3 20252
4 20259
5 20251
6 20253
7 202413
8 202413
9 20228
10 202213
11 202036
12 201977
13 201916
14 201935
15 201846
16 201817
17 201855
18 201764
19 201752
20 201738

About Enming Song

Enming Song is a scholar working on Polymers and Plastics, Biomedical Engineering, Cellular and Molecular Neuroscience, General Dentistry and Architecture, having authored 71 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (43 papers), Neuroscience and Neural Engineering (19 papers), Conducting polymers and applications (14 papers), Advanced Materials and Mechanics (10 papers), Advanced Memory and Neural Computing (9 papers), Nanowire Synthesis and Applications (7 papers), Photoreceptor and optogenetics research (5 papers) and Thin-Film Transistor Technologies (4 papers). The work is most often cited by research in Polymers and Plastics (670 citations), Cellular and Molecular Neuroscience (833 citations), Biomedical Engineering (1.5k citations), Cognitive Neuroscience (329 citations) and Electrical and Electronic Engineering (847 citations). Enming Song has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Sang Min Won, Jinghua Li, John A. Rogers, John A. Rogers, Wubin Bai, Yongfeng Mei, Jonathan T. Reeder, Xinge Yu, Gaoshan Huang and Jianing Zhao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Advanced Functional Materials, ACS Applied Materials & Interfaces and Science Advances.

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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