Fei Lang

437 citations
20 papers · 300 · h-index 7

Impact in

Papers in

Fei Lang

14 papers receiving 295 citations

Peers

Fei Lang
Comparison fields: 5 of 76
  • Computer Networks and Communications 103
  • Artificial Intelligence 110
  • Signal Processing 36
  • Computer Vision and Pattern Recognition 38
  • Medical Laboratory Technology 2
Replace Sheng Feng with:
Sheng Feng China
Sumit Chakravarty United States
Prima Kristalina Indonesia
Alicia Guerrero-Curieses Spain
Sania Bhatti Pakistan
Neetu Faujdar India
Jiashuai Shi China
Nidhi Sindhwani India
Dongyang Li China
Fei Lang relative to Sheng Feng China Sheng Feng's profile →
Citations per field
00.5×1.5×
Sheng Feng · 1×
Citations per year

Countries citing papers authored by Fei Lang

Since Specialization
Citations

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

Fields of papers citing papers by Fei Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201897
2 202178
3 201866
4 202115
5 201814
6 201710
7 20168
8 20173
9 20083
10 20082
11 20141
12 20131
13 20171
14 20111
15 20180
16 20230
17 20250
18 20250
19 20140
20
Flavoured milks - recent world-wide developments.
19800

About Fei Lang

Fei Lang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 300 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (3 papers), Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers), Wireless Communication Security Techniques (3 papers), Face and Expression Recognition (2 papers), Network Security and Intrusion Detection (2 papers), Remote-Sensing Image Classification (2 papers) and Advanced Wireless Communication Technologies (2 papers). The work is most often cited by research in Computer Networks and Communications (103 citations), Artificial Intelligence (110 citations), Signal Processing (36 citations), Computer Vision and Pattern Recognition (38 citations) and Medical Laboratory Technology (2 citations). Fei Lang has collaborated with scholars based in China and United States. Frequent co-authors include Guanglu Sun, Jian Dai, Zhichao Song, Lili Liang, Feng Xiao, Baoyun Wang, Fuhui Zhou, Wei Wu, Zi Wang and Qihui Wu. Their work appears in journals such as EURASIP Journal on Wireless Communications and Networking, Future Generation Computer Systems, European Journal of Plant Pathology, IEEE Wireless Communications Letters and Mobile Networks and Applications.

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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