Jingli Wang

10.2k citations
53 papers · 3.8k indexed · 4 hit papers · h-index 24
Topics
2D Materials and Applications (19 papers)Advanced Memory and Neural Computing (12 papers)Ferroelectric and Negative Capacitance Devices (9 papers)

In The Last Decade

Jingli Wang

47 papers receiving 3.8k citations

Hit Papers

Optoelectronic resistive random access memory for neuromo...201620262019202220192016202220232505007501000

Peers

Jingli Wang
Comparison fields: 5 of 91
  • Electrical and Electronic Engineering 2.7k
  • Materials Chemistry 1.8k
  • Cellular and Molecular Neuroscience 693
  • Biomedical Engineering 566
  • Polymers and Plastics 429
Replace Mohit Kumar with:
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Jingli Wang relative to Mohit Kumar South Korea Mohit Kumar's profile →
Citations per field
00.5×3.8×
Mohit Kumar · 1×
Citations per year

Countries citing papers authored by Jingli Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jingli Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingli Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jingli Wang. A scholar is included among the top collaborators of Jingli Wang 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 Jingli Wang. Jingli Wang 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 14
2 5
3 0
4 0
5 7
6 1
7 0
8 1
9 10
10 21
11 98
12
Ferroelectric-defined reconfigurable homojunctions for in-memory sensing and computingbreakdown →
152
13 9
14 37
15 28
16 61
17 10
18
Optoelectronic resistive random access memory for neuromorphic vision sensorsbreakdown →
1079
19 255
20 9

About Jingli Wang

Jingli Wang is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Electrical and Electronic Engineering, having authored 53 papers that have together received 3.8k indexed citations. Recurring topics across this work include 2D Materials and Applications (19 papers), Advanced Memory and Neural Computing (12 papers) and Ferroelectric and Negative Capacitance Devices (9 papers). The work is most often cited by research in Electrical and Electronic Engineering (2.7k citations), Materials Chemistry (1.8k citations) and Cellular and Molecular Neuroscience (693 citations). Jingli Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yang Chai, Jiewei Chen, Zheng Zhou, Jinfeng Kang, Feichi Zhou, Ziyuan Lin, Ning Zhang, Shimeng Yu, H.‐S. Philip Wong and Lei Liao. Their work appears in journals such as Advanced Materials, Nature Communications and Nature Materials.

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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