Lei Mo

716 citations
57 papers · 510 · h-index 14

Impact in

Papers in

    • Energy Efficient Wireless Sensor Networks 10
    • Distributed and Parallel Computing Systems 7
    • Distributed Control Multi-Agent Systems 6
    • Distributed Sensor Networks and Detection Algorithms 5
    • IoT and Edge/Fog Computing 4
    • Parallel Computing and Optimization Techniques 9
    • Real-Time Systems Scheduling 5

Lei Mo

48 papers receiving 500 citations

Peers

Lei Mo
Comparison fields: 5 of 83
  • Hardware and Architecture 62
  • Computer Networks and Communications 184
  • Biomaterials 62
  • Hepatology 19
  • Information Systems 60
Replace Yuan Shi with:
Yuan Shi United States
Qingkui Chen China
Haipeng Wang China
Hsi-Chieh Lee Taiwan
Sungmin Hong South Korea
Zhuoyuan Li China
Mingyue Cui China
Yuhan Wu China
Lei Mo relative to Yuan Shi United States Yuan Shi's profile →
Citations per field
00.5×6.3×
Yuan Shi · 1×
Citations per year

Countries citing papers authored by Lei Mo

Since Specialization
Citations

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

Fields of papers citing papers by Lei Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201966
2 202340
3 202036
4 201831
5 201830
6 201728
7 201927
8 201822
9 201918
10 201618
11 201817
12 202315
13 201314
14 201414
15 202111
16 20229
17 20139
18 20208
19 20198
20 20208

About Lei Mo

Lei Mo is a scholar working on Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering, Information Systems and Artificial Intelligence, having authored 57 papers that have together received 510 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (10 papers), Parallel Computing and Optimization Techniques (9 papers), Cloud Computing and Resource Management (8 papers), Distributed and Parallel Computing Systems (7 papers), Distributed Control Multi-Agent Systems (6 papers), Distributed Sensor Networks and Detection Algorithms (5 papers), Real-Time Systems Scheduling (5 papers) and IoT and Edge/Fog Computing (4 papers). The work is most often cited by research in Hardware and Architecture (62 citations), Computer Networks and Communications (184 citations), Biomaterials (62 citations), Hepatology (19 citations) and Information Systems (60 citations). Lei Mo has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Angeliki Kritikakou, Shibo He, Olivier Sentieys, Xianghui Cao, Xinqing Jiang, Bugong Xu, Huikang Yang, Ye‐Qiong Song, Xiangdong Xu and Jiantao Lin. Their work appears in journals such as IEEE Internet of Things Journal, RSC Advances, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Journal of Systems Architecture and Medicine.

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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