Faez Ahmed

1.9k citations
73 papers · 1.1k indexed · 1 hit paper · h-index 16

Faez Ahmed

70 papers receiving 1.0k citations

Hit Papers

Deep generative modeling for mechanistic-based learning a...239202020262022202450100150200

Peers

Faez Ahmed
Comparison fields: 5 of 108
  • Industrial and Manufacturing Engineering 154
  • Computer Vision and Pattern Recognition 193
  • Architecture 13
  • Civil and Structural Engineering 179
  • Mechanical Engineering 301
Replace S.C. Fok with:
S.C. Fok Singapore
Hong Zhou China
Xiaoqiang Zhou China
Namwoo Kang South Korea
Francesco Leali Italy
Filippo Sanfilippo Norway
Laura García‐Hernández Spain
Theodor Freiheit United States
Jae‐Min Lee South Korea
Bhawani Shankar Chowdhry Pakistan
Faez Ahmed relative to S.C. Fok Singapore S.C. Fok's profile →
Citations per field
00.5×11×
S.C. Fok · 1×
Citations per year

Countries citing papers authored by Faez Ahmed

Since Specialization
Citations

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

Fields of papers citing papers by Faez Ahmed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20257
2 20253
3 20252
4 20256
5 20251
6 20251
7 202413
8 20240
9 20243
10 20247
11 20247
12 202319
13 202317
14 202340
15 202314
16 20218
17
Deep generative modeling for mechanistic-based learning and design of metamaterial systemsbreakdown →
2020239
18 20207
19 20196
20 201712

About Faez Ahmed

Faez Ahmed is a scholar working on Architecture, Industrial and Manufacturing Engineering and Computer Graphics and Computer-Aided Design, having authored 73 papers that have together received 1.1k indexed citations. Recurring topics across this work include Design Education and Practice (21 papers), Manufacturing Process and Optimization (12 papers), Topology Optimization in Engineering (8 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Creativity in Education and Neuroscience (5 papers), Autonomous Vehicle Technology and Safety (5 papers), 3D Shape Modeling and Analysis (5 papers) and Product Development and Customization (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (154 citations), Computer Vision and Pattern Recognition (193 citations) and Architecture (13 citations). Faez Ahmed has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Kalyanmoy Deb, Wei Chen, Yu‐Chin Chan, Zhao Liu, Liwei Wang, Ping Zhu, Wei Chen, Binyang Song, Abhilash Jindal and Mark Fuge. Their work appears in journals such as Applied Energy, Computer Methods in Applied Mechanics and Engineering and Applied Soft Computing.

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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