Mo Sha

3.0k total citations · 1 hit paper
111 papers, 2.3k citations indexed

About

Mo Sha is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mo Sha has authored 111 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computer Networks and Communications, 48 papers in Electrical and Electronic Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mo Sha's work include Energy Efficient Wireless Sensor Networks (42 papers), Energy Harvesting in Wireless Networks (25 papers) and Wireless Networks and Protocols (17 papers). Mo Sha is often cited by papers focused on Energy Efficient Wireless Sensor Networks (42 papers), Energy Harvesting in Wireless Networks (25 papers) and Wireless Networks and Protocols (17 papers). Mo Sha collaborates with scholars based in United States, China and Hong Kong. Mo Sha's co-authors include Chenyang Lu, Huaping Zhao, Dolvara Gunatilaka, Yong Lei, Chengjie Wu, Gregory Hackmann, Yixin Chen, Long Liu, Kian‐Lee Tan and Yuchen Li and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Advanced Energy Materials.

In The Last Decade

Mo Sha

102 papers receiving 2.3k citations

Hit Papers

Real-Time Wireless Sensor-Actuator Networks for Industria... 2015 2026 2018 2022 2015 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Real-Time Wireless Sensor-Actuator Networks for Industrial Cyber-Physical Systems
    2015 285 citations Chenyang Lu, Bo Li et al. Proceedings of the IEEE profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mo Sha United States 28 1.1k 1.1k 322 221 219 111 2.3k
Bo Hu China 23 1.7k 1.5× 1.3k 1.2× 213 0.7× 104 0.5× 206 0.9× 150 3.0k
Ziming Zhao United States 30 770 0.7× 1.2k 1.1× 123 0.4× 121 0.5× 567 2.6× 142 2.9k
Dong Chen China 24 810 0.7× 519 0.5× 130 0.4× 98 0.4× 152 0.7× 109 2.0k
Ruidong Li China 32 996 0.9× 1.9k 1.8× 211 0.7× 149 0.7× 927 4.2× 256 3.7k
Jingwen Wang China 26 680 0.6× 276 0.3× 181 0.6× 119 0.5× 403 1.8× 129 2.4k
W. K. Chan Hong Kong 38 865 0.8× 1.6k 1.5× 347 1.1× 396 1.8× 618 2.8× 242 5.1k
Xin Sui China 25 718 0.7× 352 0.3× 1.1k 3.3× 70 0.3× 170 0.8× 83 2.4k
J. Morris Chang United States 23 976 0.9× 1.0k 1.0× 75 0.2× 102 0.5× 589 2.7× 166 2.6k
Wenjing Li China 27 1.9k 1.7× 1.2k 1.2× 113 0.4× 161 0.7× 345 1.6× 361 3.1k

Countries citing papers authored by Mo Sha

Since Specialization
Citations

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

Fields of papers citing papers by Mo Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mo Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Mo Sha. A scholar is included among the top collaborators of Mo Sha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mo Sha. Mo Sha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sha, Mo, et al.. (2025). Engineered exosomes: a promising approach for overcoming challenges in pancreatic cancer therapy. Journal of Nanobiotechnology. 23(1). 619–619. 1 indexed citations
2.
Xiao, Jianxin, Mo Sha, Jingjun Wang, et al.. (2025). Carbohydrate-metabolizing gastrointestinal bacteria mediate resistome divergence in high feed efficiency Holstein dairy calves. Journal of Hazardous Materials. 499. 140283–140283.
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Sha, Mo, et al.. (2025). Medical image segmentation model based on local enhancement driven global optimization. Scientific Reports. 15(1). 18281–18281.
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Sha, Mo, et al.. (2023). Adapting Wireless Network Configuration From Simulation to Reality via Deep Learning-Based Domain Adaptation. IEEE/ACM Transactions on Networking. 32(3). 1983–1998. 3 indexed citations
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Zhang, Cong, et al.. (2023). Potential alternative drug treatment for bone giant cell tumor. Frontiers in Cell and Developmental Biology. 11. 1193217–1193217. 2 indexed citations
10.
Sha, Mo, et al.. (2022). Revealing Smart Selective Jamming Attacks in WirelessHART Networks. IEEE/ACM Transactions on Networking. 31(4). 1611–1625. 1 indexed citations
11.
Sha, Mo, et al.. (2022). Localizing Campus Shuttles from One Single Base Station Using LoRa Link Characteristics. 8. 1–10. 2 indexed citations
12.
Sha, Mo, et al.. (2021). Adapting Wireless Mesh Network Configuration from Simulation to Reality via Deep Learning based Domain Adaptation.. Networked Systems Design and Implementation. 887–901. 7 indexed citations
13.
Zhang, Chenglin, Guowei Yang, Mo Sha, et al.. (2021). Bismuth Nanoparticles Confined in Carbonaceous Nanospheres as Anodes for High-Performance Potassium-Ion Batteries. ACS Applied Materials & Interfaces. 13(27). 31766–31774. 45 indexed citations
14.
Guo, Yang, Mo Sha, Bo Xing, et al.. (2019). Effective degradation of phenol via catalytic wet peroxide oxidation over N, S, and Fe-tridoped activated carbon. Environmental Pollution. 258. 113687–113687. 24 indexed citations
15.
Sha, Mo, et al.. (2019). Distributed Graph Routing and Scheduling for Industrial Wireless Sensor-Actuator Networks. IEEE/ACM Transactions on Networking. 27(4). 1669–1682. 34 indexed citations
16.
Sha, Mo & Xiaoping Shi. (2015). Incentives Research for Enterprises to Participate in VEP in the Multitask Principal-Agent Model. SHILAP Revista de lepidopterología. 14. 2003–2003. 1 indexed citations
17.
Lu, Chenyang, Bo Li, Mo Sha, et al.. (2015). Real-Time Wireless Sensor-Actuator Networks for Industrial Cyber-Physical Systems. Proceedings of the IEEE. 104(5). 1013–1024. 285 indexed citations breakdown →
18.
Sha, Mo, et al.. (2013). Self-Adapting MAC Layer for Wireless Sensor Networks. Open Scholarship Institutional Repository (Washington University in St. Louis). 192–201. 25 indexed citations
19.
Sha, Mo, Gregory Hackmann, & Chenyang Lu. (2011). ARCH: Practical Channel Hopping for Reliable Home-Area Sensor Networks. Open Scholarship Institutional Repository (Washington University in St. Louis). 305–315. 32 indexed citations
20.
Sha, Mo, Gregory Hackmann, & Chenyang Lu. (2011). Multi-channel reliability and spectrum usage in real homes: Empirical studies for home-area sensor networks. Open Scholarship Institutional Repository (Washington University in St. Louis). 1–9. 6 indexed citations

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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