Jiang Ming

2.0k citations
62 papers · 1.1k indexed · h-index 20

Jiang Ming

56 papers receiving 1.0k citations

Peers

Jiang Ming
Comparison fields: 5 of 63
  • Software 307
  • Signal Processing 672
  • Information Systems 615
  • Computer Networks and Communications 377
  • Artificial Intelligence 374
Replace Yinxing Xue with:
Yinxing Xue China
Vincent J. Hellendoorn United States
Abdelwahab Hamou‐Lhadj Canada
Linjun Shou China
Chunrong Fang China
Yinzhi Cao United States
Yun Lin China
Terence Parr United States
Steve Versteeg Australia
Ferdian Thung Singapore
Jiang Ming relative to Yinxing Xue China Yinxing Xue's profile →
Citations per field
00.5×1.5×2.1×
Yinxing Xue · 1×
Citations per year

Countries citing papers authored by Jiang Ming

Since Specialization
Citations

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

Fields of papers citing papers by Jiang Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20234
3 20228
4 202111
5 20200
6 202012
7
Towards Predicting Efficient and Anonymous Tor Circuits
20182
8
BinSIM: Trace-based semantic binary diffing via system call sliced segment equivalence checking
201739
9 201788
10 20164
11
TaintPipe: pipelined symbolic taint analysis
201537
12 20143
13
Risk based SLA management in clouds: A legal perspective
20122
14 20128
15 20126
16 201225
17
A Risk Assessment Framework and Software Toolkit for Cloud Service Ecosystems
201132
18 20091
19
A feature-based approach to visualizing and mining simulation data
20052
20
Mining of Complex Evolutionary Phenomena
20021

About Jiang Ming

Jiang Ming is a scholar working on Software, Signal Processing and Information Systems, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (36 papers), Security and Verification in Computing (25 papers), Software Testing and Debugging Techniques (18 papers), Cloud Data Security Solutions (7 papers), Network Security and Intrusion Detection (7 papers), Software Engineering Research (6 papers), Digital and Cyber Forensics (6 papers) and Cloud Computing and Resource Management (5 papers). The work is most often cited by research in Software (307 citations), Signal Processing (672 citations) and Information Systems (615 citations). Jiang Ming has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Dinghao Wu, Peng Liu, Sencun Zhu, Dongpeng Xu, Lannan Luo, Karim Djemame, Django Armstrong, Mariam Kiran, Yufei Jiang and Ilia Pietri. Their work appears in journals such as Journal of Computer Virology and Hacking Techniques, Future Generation Computer Systems, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal of Vision and IEEE Access.

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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