Ning Weng

777 citations
59 papers · 556 · h-index 14

Impact in

    • Network Packet Processing and Optimization
    • Parallel Computing and Optimization Techniques
    • Network Security and Intrusion Detection
    • Software-Defined Networks and 5G
    • Interconnection Networks and Systems
    • Caching and Content Delivery

Papers in

Ning Weng

55 papers receiving 538 citations

Peers

Ning Weng
Comparison fields: 5 of 48
  • Hardware and Architecture 235
  • Computer Networks and Communications 462
  • Artificial Intelligence 184
  • Signal Processing 51
  • Information Systems 44
Replace Ramesh K. Karne with:
Ramesh K. Karne United States
Jude Angelo Ambrose Australia
Lan Gao China
John Sonchack United States
Giuseppe Siracusano Italy
Nithin M. Nakka United States
Clifford Liem Canada
Gabriel Parmer United States
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Ayaz Akram United States
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Citations per field
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Citations per year

Countries citing papers authored by Ning Weng

Since Specialization
Citations

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

Fields of papers citing papers by Ning Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Ning Weng, 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 Ning Weng Line = papers co-authored together Ning Weng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200575
2 202350
3 200726
4
Pipelining vs. Multiprocessors – Choosing the Right Network Processor System Topology
200423
5 201622
6 200920
7 200518
8 200518
9 201517
10 202416
11 200515
12 201315
13 200915
14 202314
15 201814
16 200514
17 202412
18 201011
19 200910
20 201010

About Ning Weng

Ning Weng is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering, having authored 59 papers that have together received 556 indexed citations. Recurring topics across this work include Network Packet Processing and Optimization (35 papers), Network Security and Intrusion Detection (30 papers), Software-Defined Networks and 5G (19 papers), Internet Traffic Analysis and Secure E-voting (13 papers), Interconnection Networks and Systems (10 papers), Energy Efficient Wireless Sensor Networks (9 papers), Algorithms and Data Compression (7 papers) and Caching and Content Delivery (5 papers). The work is most often cited by research in Hardware and Architecture (235 citations), Computer Networks and Communications (462 citations), Artificial Intelligence (184 citations), Signal Processing (51 citations) and Information Systems (44 citations). Ning Weng has collaborated with scholars based in United States, China and Indonesia. Frequent co-authors include Tilman Wolf, Ning Yang, Benfano Soewito, Wei Wei, Yanhui Guo, Haibo Wang, Prashant Baral, Hua Long Xie, Max Yen and Fei Li. Their work appears in journals such as Electronics, IEEE Network, IEEE Transactions on Information Forensics and Security, Computer Networks and IEEE Sensors Journal.

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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