Mohammed Baz

2.1k citations
68 papers · 1.3k · 1 hit paper · h-index 21

Impact in

Papers in

Mohammed Baz

63 papers receiving 1.3k citations

Mohammed Baz's Hit Papers

Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning 2022 · 140 citations
1400+1+2Years since publication4080120

Peers

Mohammed Baz
Comparison fields: 5 of 135
  • Computer Networks and Communications 373
  • Information Systems 341
  • Computer Science Applications 62
  • Artificial Intelligence 354
  • Health Informatics 13
Replace Moamin A. Mahmoud with:
Moamin A. Mahmoud Malaysia
Faouzi Kamoun United Arab Emirates
Tanweer Alam Saudi Arabia
Jianguo Ding Sweden
Bhawani Shankar Chowdhry Pakistan
Ahmed J. Obaid Iraq
Jiechao Gao United States
Saira Gillani Pakistan
Reza Farahbakhsh France
Sudhakar Sengan India
Mohammed Baz relative to Moamin A. Mahmoud Malaysia Moamin A. Mahmoud's profile →
Citations per field
00.5×1.5×1.8×
Moamin A. Mahmoud · 1×
Citations per year

Countries citing papers authored by Mohammed Baz

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Baz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning
Hit paper breakdown →
2022140
2 202194
3 202180
4 202258
5 202255
6 202152
7 202248
8 202146
9 202043
10 202139
11 202038
12 202133
13 202133
14 202132
15 202232
16 202131
17 202230
18 202129
19 202128
20 202122

About Mohammed Baz

Mohammed Baz is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems and Radiology, Nuclear Medicine and Imaging, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Energy Efficient Wireless Sensor Networks (6 papers), Millimeter-Wave Propagation and Modeling (6 papers), Blockchain Technology Applications and Security (5 papers), Wireless Body Area Networks (5 papers), Wireless Networks and Protocols (5 papers), COVID-19 diagnosis using AI (5 papers) and Information and Cyber Security (4 papers). The work is most often cited by research in Computer Networks and Communications (373 citations), Information Systems (341 citations), Computer Science Applications (62 citations), Artificial Intelligence (354 citations) and Health Informatics (13 citations). Mohammed Baz has collaborated with scholars based in Saudi Arabia, India and Malaysia. Frequent co-authors include Mehedi Masud, Omar Cheikhrouhou, Habib Hamam, N. Z. Jhanjhi, Abdullah Baz, Anupam Kumar Bairagi, Md. Kowsher, Saydul Akbar Murad, Nusrat Jahan Prottasha and Alka Agrawal. Their work appears in journals such as Sustainability, IEEE Access, Electronics, Sensors 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.

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