Cheng‐Wei Lee

2.6k citations
87 papers · 2.0k · h-index 21

Impact in

Papers in

Cheng‐Wei Lee

77 papers receiving 2.0k citations

Peers

Cheng‐Wei Lee
Comparison fields: 5 of 97
  • Renewable Energy, Sustainability and the Environment 834
  • Materials Chemistry 1.2k
  • Physical and Theoretical Chemistry 121
  • Electrical and Electronic Engineering 521
  • Artificial Intelligence 268
Replace Young Hoon Lee with:
Young Hoon Lee South Korea
Marco Govoni United States
Matthew M. Sartin China
Matthew Welborn United States
In-Chul Hwang South Korea
Michael Kocher United States
Jin Zhang China
Datong Chen United States
Christian F. A. Negre United States
Cheng‐Wei Lee relative to Young Hoon Lee South Korea Young Hoon Lee's profile →
Citations per field
00.5×3.7×
Young Hoon Lee · 1×
Citations per year

Countries citing papers authored by Cheng‐Wei Lee

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Wei Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng‐Wei Lee. 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 Cheng‐Wei Lee. The network helps show where Cheng‐Wei Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008358
2 2009231
3 2009180
4 2010160
5 2009123
6 200586
7
Overview of NTCIR-9 RITE : Recognizing Inference in TExt
201150
8 201949
9 202047
10 200643
11 200539
12 202135
13 200735
14 201432
15 200831
16 202427
17 202226
18
Overview of the Recognizing Inference in Text (RITE-2) at NTCIR-10
201326
19 202421
20 201321

About Cheng‐Wei Lee

Cheng‐Wei Lee is a scholar working on Materials Chemistry, Artificial Intelligence, Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications, having authored 87 papers that have together received 2.0k indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (18 papers), Acoustic Wave Resonator Technologies (10 papers), Porphyrin and Phthalocyanine Chemistry (10 papers), Ga2O3 and related materials (7 papers), TiO2 Photocatalysis and Solar Cells (7 papers), Semiconductor materials and devices (7 papers) and IPv6, Mobility, Handover, Networks, Security (7 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (834 citations), Materials Chemistry (1.2k citations), Physical and Theoretical Chemistry (121 citations), Electrical and Electronic Engineering (521 citations) and Artificial Intelligence (268 citations). Cheng‐Wei Lee has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Chen‐Yu Yeh, Hsueh‐Pei Lu, Eric Wei‐Guang Diau, Wei‐Nan Yen, Chien‐Lan Chiu, Meng Chang Chen, Yeali S. Sun, André Schleife, Chi‐Lun Mai and Yen‐Chun Liu. Their work appears in journals such as Applied Physics Letters, APL Materials, npj Computational Materials, Chemistry of Materials and Journal of Applied Physics.

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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