Max Zhang

523 citations
8 papers · 383 · 1 hit paper · h-index 4

Impact in

Papers in

Max Zhang

7 papers receiving 378 citations

Max Zhang's Hit Papers

Thousands of conductance levels in memristors integrated on CMOS 2023 · 358 citations
3580+1+2Years since publication100200300

Peers

Max Zhang
Comparison fields: 5 of 40
  • Cellular and Molecular Neuroscience 106
  • Electrical and Electronic Engineering 327
  • Polymers and Plastics 34
  • Cognitive Neuroscience 41
  • Artificial Intelligence 71
Replace Yann Beilliard with:
Yann Beilliard Canada
Yaotian Ling China
Piergiulio Mannocci Italy
Samarth Jain United States
Kyungho Hong South Korea
Yasmin Halawani United Arab Emirates
Ryutaro Yasuhara Japan
Chih-Cheng Chang Taiwan
Byung-Gook Park South Korea
Max Zhang relative to Yann Beilliard Canada Yann Beilliard's profile →
Citations per field
00.5×1.5×
Yann Beilliard · 1×
Citations per year

Countries citing papers authored by Max Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Max Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Thousands of conductance levels in memristors integrated on CMOS
Hit paper breakdown →
2023358
2 20177
3 20196
4 20175
5 20153
6
Indoor and urban environmental monitoring using "virtual building" approach
20093
7 20151
8 20250

About Max Zhang

Max Zhang is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Computer Networks and Communications, Automotive Engineering and Health, Toxicology and Mutagenesis, having authored 8 papers that have together received 383 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (3 papers), Transition Metal Oxide Nanomaterials (2 papers), Green IT and Sustainability (1 paper), Wireless Networks and Protocols (1 paper), Atmospheric chemistry and aerosols (1 paper), CCD and CMOS Imaging Sensors (1 paper), Energy Harvesting in Wireless Networks (1 paper) and Advanced MIMO Systems Optimization (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (106 citations), Electrical and Electronic Engineering (327 citations), Polymers and Plastics (34 citations), Cognitive Neuroscience (41 citations) and Artificial Intelligence (71 citations). Max Zhang has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Yu Cheng, Akula Venkatram, Xianghui Cao, Parikshit Deshmukh, Ioannis Broustis, Lili Qiu, Vlad Isakov, Shuai Zhang, Wenlong Shen and Ajay Anil Mahimkar. Their work appears in journals such as Microscopy and Microanalysis, Journal of Lightwave Technology, Nature, International Journal of Environment and Pollution and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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