Yan-Ming Lai

556 citations
19 papers · 469 · h-index 11

Impact in

Papers in

Yan-Ming Lai

19 papers receiving 457 citations

Peers

Yan-Ming Lai
Comparison fields: 5 of 39
  • Computer Networks and Communications 322
  • Information Systems 230
  • Artificial Intelligence 199
  • Media Technology 44
  • Electrical and Electronic Engineering 235
Replace Hasoo Eun with:
Hasoo Eun South Korea
Ming-Chin Chuang Taiwan
Kyusuk Han South Korea
Ioannis Papapanagiotou United States
Jesse Walker United States
Faouzi Zarai Tunisia
Hyoung-Kee Choi South Korea
Cong Peng China
Mohsin Iftikhar Saudi Arabia
Vankamamidi S. Naresh India
Yan-Ming Lai relative to Hasoo Eun South Korea Hasoo Eun's profile →
Citations per field
00.5×2.8×
Hasoo Eun · 1×
Citations per year

Countries citing papers authored by Yan-Ming Lai

Since Specialization
Citations

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

Fields of papers citing papers by Yan-Ming Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan-Ming Lai. 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 Yan-Ming Lai. The network helps show where Yan-Ming Lai may publish in the future.

Co-authors

The 16 scholars most cited alongside Yan-Ming Lai, 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 Yan-Ming Lai Line = papers co-authored together Yan-Ming Lai links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2013189
2 201360
3 201455
4 201628
5 201816
6 201616
7 201816
8 201815
9 202315
10 201614
11 201911
12 20139
13 20166
14 20234
15 20154
16 20134
17 20143
18 20223
19 20181

About Yan-Ming Lai

Yan-Ming Lai is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering and Media Technology, having authored 19 papers that have together received 469 indexed citations. Recurring topics across this work include Advanced Authentication Protocols Security (11 papers), Cryptography and Data Security (8 papers), RFID technology advancements (5 papers), Security in Wireless Sensor Networks (5 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers), User Authentication and Security Systems (3 papers), Advanced Battery Materials and Technologies (2 papers) and Advancements in Battery Materials (2 papers). The work is most often cited by research in Computer Networks and Communications (322 citations), Information Systems (230 citations), Artificial Intelligence (199 citations), Media Technology (44 citations) and Electrical and Electronic Engineering (235 citations). Yan-Ming Lai has collaborated with scholars based in Taiwan, Japan and Sweden. Frequent co-authors include Cheng‐Chi Lee, Chun‐Ta Li, Athanasios V. Vasilakos, Che-Wei Hsu, Pu‐Jen Cheng, Kevin Iputera, Ren‐Jei Chung, Ru‐Shi Liu, Chin‐Ling Chen and Ting Chen. Their work appears in journals such as Wireless Networks, IEEE Intelligent Systems, PLoS ONE, ACS Applied Energy Materials and Electronics.

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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