Chung Lam

1.5k citations
48 papers · 1.1k indexed · h-index 16
Topics
Phase-change materials and chalcogenides (34 papers)Advanced Memory and Neural Computing (27 papers)Chalcogenide Semiconductor Thin Films (10 papers)
Partner nations
United StatesTaiwanJapan

In The Last Decade

Chung Lam

48 papers receiving 1.1k citations

Peers

Chung Lam
Comparison fields: 5 of 48
  • Electrical and Electronic Engineering 924
  • Materials Chemistry 477
  • Polymers and Plastics 180
  • Cellular and Molecular Neuroscience 175
  • Artificial Intelligence 149
Replace Liang Fang with:
Liang Fang China
Chunmeng Dou China
M. BrightSky United States
Matthew Jerry United States
Lang Zeng China
Paolo Fantini Italy
Riduan Khaddam-Aljameh Switzerland
Hongsik Jeong South Korea
Lan Wei Canada
Sumeet Kumar Gupta United States
Chung Lam relative to Liang Fang China Liang Fang's profile →
Citations per field
00.5×1.5×2.4×
Liang Fang · 1×
Citations per year

Countries citing papers authored by Chung Lam

Since Specialization
Citations

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

Fields of papers citing papers by Chung Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chung Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Chung Lam. A scholar is included among the top collaborators of Chung Lam 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 Chung Lam. Chung Lam 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 1
2 6
3 7
4 280
5 49
6 159
7 5
8 117
9
High Temperature Seebeck Coefficient and Electrical Resistivity of Ge$_{2}$Sb$_{2}$Te$_{5}$ Thin Films
3
10 15
11 4
12 31
13 6
14 14
15 18
16 8
17 3
18 6
19 7
20 15

About Chung Lam

Chung Lam is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Hardware and Architecture, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Phase-change materials and chalcogenides (34 papers), Advanced Memory and Neural Computing (27 papers) and Chalcogenide Semiconductor Thin Films (10 papers). The work is most often cited by research in Electrical and Electronic Engineering (924 citations), Hardware and Architecture (99 citations) and Polymers and Plastics (180 citations). Chung Lam has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include M. BrightSky, Sang‐Bum Kim, Geoffrey W. Burr, Hsiang-Lan Lung, Jing Li, Jau-Yi Wu, Norma Sosa, H.‐S. Philip Wong, Sukru Burc Eryilmaz and Huai‐Yu Cheng. Their work appears in journals such as Journal of Applied Physics, Scientific Reports and Nanoscale.

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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