Tong Liang

1.1k citations
34 papers · 847 indexed · 1 hit paper · h-index 11
Topics
Spectroscopy and Chemometric Analyses (5 papers)Network Security and Intrusion Detection (3 papers)Vehicle Dynamics and Control Systems (2 papers)

In The Last Decade

Tong Liang

33 papers receiving 815 citations

Hit Papers

A hierarchical edge cloud architecture for mobile computing20162026201920222016100200300400

Peers

Tong Liang
Comparison fields: 5 of 112
  • Computer Networks and Communications 427
  • Information Systems 214
  • Electrical and Electronic Engineering 143
  • Artificial Intelligence 102
  • Biomedical Engineering 98
Replace Nicola Bicocchi with:
Nicola Bicocchi Italy
Julien Mineraud Finland
Usha Devi Gandhi India
Susanna Pirttikangas Finland
Fasee Ullah Pakistan
Hrishikesh Venkataraman India
Yousaf Saeed Pakistan
Saleh Yousefi Iran
Fei Song China
Dongliang Chen China
Tong Liang relative to Nicola Bicocchi Italy Nicola Bicocchi's profile →
Citations per field
00.5×3.9×
Nicola Bicocchi · 1×
Citations per year

Countries citing papers authored by Tong Liang

Since Specialization
Citations

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

Fields of papers citing papers by Tong Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Tong Liang. A scholar is included among the top collaborators of Tong Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tong Liang. Tong Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 11
3 29
4 39
5 2
6 2
7 38
8 6
9 3
10 8
11 2
12 59
13 3
14 3
15 1
16
Hardening Classifiers against Evasion: the Good, the Bad, and the Ugly
2
17
A Framework for Validating Models of Evasion Attacks on Machine Learning, with Application to PDF Malware Detection
7
18
Server Internet/Intranet Dynamic Mapping Based on DDNS and NAT
1
19 32
20
An Empirical Study on Risk Factors of CoPS Innovation Project
0

About Tong Liang

Tong Liang is a scholar working on Management of Technology and Innovation, Analytical Chemistry and Biophysics, having authored 34 papers that have together received 847 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (5 papers), Network Security and Intrusion Detection (3 papers) and Vehicle Dynamics and Control Systems (2 papers). The work is most often cited by research in Computer Networks and Communications (427 citations), Information Systems (214 citations) and Automotive Engineering (54 citations). Tong Liang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wei Gao, Yong Li, Shiyuan Han, Jin Chen, Eric W.T. Ngai, Qining Wang, Baojun Chen, Long Wang, Kunlin Wei and Enhao Zheng. Their work appears in journals such as Scientific Reports, Remote Sensing and CATENA.

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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