Sai Ji

1.9k citations
89 papers · 1.4k · h-index 19

Impact in

    • IoT and Edge/Fog Computing
    • Energy Efficient Wireless Sensor Networks
    • Advanced Authentication Protocols Security
    • Blockchain Technology Applications and Security
    • User Authentication and Security Systems
    • Cloud Data Security Solutions

Papers in

Sai Ji

81 papers receiving 1.3k citations

Peers

Sai Ji
Comparison fields: 5 of 95
  • Computer Networks and Communications 725
  • Information Systems 498
  • Artificial Intelligence 458
  • Signal Processing 73
  • Computer Vision and Pattern Recognition 109
Replace Gaolei Li with:
Gaolei Li China
Shaoen Wu United States
Deepak Kumar Sharma India
Shuo Wang China
Benxiong Huang China
Yuancheng Li China
Xianjun Deng China
Bin Wu China
Sai Ji relative to Gaolei Li China Gaolei Li's profile →
Citations per field
00.5×7.4×
Gaolei Li · 1×
Citations per year

Countries citing papers authored by Sai Ji

Since Specialization
Citations

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

Fields of papers citing papers by Sai Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018217
2 2017136
3 2018112
4 200995
5 201676
6 201760
7 202237
8 201834
9 201032
10 201431
11 200927
12 202126
13 202125
14 201924
15 202221
16 201420
17 201519
18 201419
19 201919
20 201617

About Sai Ji

Sai Ji is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Electrical and Electronic Engineering and Biomedical Engineering, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cryptography and Data Security (16 papers), Blockchain Technology Applications and Security (13 papers), Advanced Authentication Protocols Security (10 papers), Privacy-Preserving Technologies in Data (9 papers), User Authentication and Security Systems (9 papers), IoT and Edge/Fog Computing (7 papers), Cloud Data Security Solutions (7 papers) and Ultrasonics and Acoustic Wave Propagation (7 papers). The work is most often cited by research in Computer Networks and Communications (725 citations), Information Systems (498 citations), Artificial Intelligence (458 citations), Signal Processing (73 citations) and Computer Vision and Pattern Recognition (109 citations). Sai Ji has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jian Shen, Haowen Tan, Jun Shen, Yongjun Ren, Yi Tang, Jin Wang, Jong Hyuk Park, Jiayi Cao, Jin Wang and Shenfang Yuan. Their work appears in journals such as Future Generation Computer Systems, Wireless Communications and Mobile Computing, Sensors, Applied Sciences and Computers, materials & continua/Computers, materials & continua (Print).

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.

Explore authors with similar magnitude of impact