Putra Wanda

401 citations
25 papers · 271 · h-index 9

Impact in

Papers in

Putra Wanda

22 papers receiving 260 citations

Peers

Putra Wanda
Comparison fields: 5 of 71
  • Information Systems 124
  • Signal Processing 58
  • Computer Networks and Communications 116
  • Artificial Intelligence 120
  • Computer Vision and Pattern Recognition 47
Replace Qingfeng Tan with:
Qingfeng Tan China
Sneha Kudugunta India
Geli Fei United States
Wandong Cai China
Qixu Wang China
Clemente Galdi Italy
Mehmet Engin Tozal United States
Abbas Ghaemi Bafghi Iran
Nishchol Mishra India
Sunil Karforma India
Putra Wanda relative to Qingfeng Tan China Qingfeng Tan's profile →
Citations per field
00.5×1.5×1.8×
Qingfeng Tan · 1×
Citations per year

Countries citing papers authored by Putra Wanda

Since Specialization
Citations

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

Fields of papers citing papers by Putra Wanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Putra Wanda, 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 Putra Wanda Line = papers co-authored together Putra Wanda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202059
2 202056
3 202124
4 202017
5 202014
6 202213
7 202310
8
URLDeep: Continuous Prediction of Malicious URL with Dynamic Deep Learning in Social Networks.
20199
9 20149
10 20208
11 20188
12 20208
13 20146
14 20186
15 20235
16 20205
17 20245
18 20223
19 20212
20 20192

About Putra Wanda

Putra Wanda is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Sociology and Political Science and Signal Processing, having authored 25 papers that have together received 271 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (9 papers), Spam and Phishing Detection (8 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Advanced Malware Detection Techniques (3 papers), Misinformation and Its Impacts (3 papers), Peer-to-Peer Network Technologies (2 papers), Data Mining and Machine Learning Applications (2 papers) and Multimedia Learning Systems (2 papers). The work is most often cited by research in Information Systems (124 citations), Signal Processing (58 citations), Computer Networks and Communications (116 citations), Artificial Intelligence (120 citations) and Computer Vision and Pattern Recognition (47 citations). Putra Wanda has collaborated with scholars based in Indonesia and China. Frequent co-authors include Jie Huang and Jinjie Huang. Their work appears in journals such as Social Network Analysis and Mining, International Journal of Computational Intelligence Systems, Journal of Information Security and Applications, International Journal of Information Technology and TELKOMNIKA (Telecommunication Computing Electronics and Control).

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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