Mohan Li

1.4k citations
105 papers · 939 · 1 hit paper · h-index 13

Impact in

Papers in

Mohan Li

84 papers receiving 901 citations

Mohan Li's Hit Papers

Block-DEF: A secure digital evidence framework using blockchain 2019 · 278 citations
2780+2+4Years since publication50100150200250

Peers

Mohan Li
Comparison fields: 5 of 111
  • Signal Processing 176
  • Information Systems 328
  • Computer Networks and Communications 282
  • Artificial Intelligence 345
  • Radiation 41
Replace Vijay Gadepally with:
Vijay Gadepally United States
Ray-Shine Run Taiwan
Andrey Kim South Korea
Nicolai M. Josuttis Switzerland
Qishi Wu United States
Yongsoo Song South Korea
Hai Jiang United States
Shuai Wang China
Michi Henning Norway
Sedat Akleylek Türkiye
Mohan Li relative to Vijay Gadepally United States Vijay Gadepally's profile →
Citations per field
00.5×10×13.7×
Vijay Gadepally · 1×
Citations per year

Countries citing papers authored by Mohan Li

Since Specialization
Citations

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

Fields of papers citing papers by Mohan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Block-DEF: A secure digital evidence framework using blockchain
Hit paper breakdown →
2019278
2 2019118
3 202054
4 202052
5 201641
6 202223
7 201318
8 202015
9 201813
10 202413
11 201913
12 201913
13 202112
14 202211
15 202310
16 202410
17 20219
18 20199
19 20238
20 20158

About Mohan Li

Mohan Li is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing and Management Science and Operations Research, having authored 105 papers that have together received 939 indexed citations. Recurring topics across this work include Data Quality and Management (11 papers), Speech Recognition and Synthesis (11 papers), Privacy-Preserving Technologies in Data (10 papers), Network Security and Intrusion Detection (10 papers), Topic Modeling (8 papers), Advanced Malware Detection Techniques (7 papers), Advanced X-ray and CT Imaging (7 papers) and Advanced Graph Neural Networks (6 papers). The work is most often cited by research in Signal Processing (176 citations), Information Systems (328 citations), Computer Networks and Communications (282 citations), Artificial Intelligence (345 citations) and Radiation (41 citations). Mohan Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yanbin Sun, Zhihong Tian, Shen Su, Meikang Qiu, Hui Lu, Sabita Maharjan, Jianzhong Li, Chunsheng Zhu, Nadra Guizani and Rama Doddipatla. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Biochemical Genetics, IEEE Internet of Things Journal, Tribology International and Lecture notes in computer science.

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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