Hua Ming

2.1k citations
78 papers · 1.6k · h-index 19

Impact in

Papers in

Hua Ming

74 papers receiving 1.6k citations

Peers

Hua Ming
Comparison fields: 5 of 124
  • Signal Processing 603
  • Computer Networks and Communications 655
  • Pollution 286
  • Radiological and Ultrasound Technology 75
  • Artificial Intelligence 531
Replace Miquel Sànchez–Marrè with:
Miquel Sànchez–Marrè Spain
Sayan Kumar Ray New Zealand
Jiwu Jing China
Pengfei Li China
Yufan Yang China
Azizah Abdul Manaf Malaysia
Qi Li China
Fuliang Li China
Xusheng Xiao United States
Hongjie Jia China
Hua Ming relative to Miquel Sànchez–Marrè Spain Miquel Sànchez–Marrè's profile →
Citations per field
00.5×5×10×15×
Miquel Sànchez–Marrè · 1×
Citations per year

Countries citing papers authored by Hua Ming

Since Specialization
Citations

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

Fields of papers citing papers by Hua Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019239
2 2008204
3 2009128
4 2010100
5 201576
6 200968
7 201467
8 200858
9 200955
10 201951
11 201450
12 201947
13 200845
14 202133
15 200728
16
Efficiently answering top-k typicality queries on large databases
200726
17 200923
18 201020
19 201820
20 202217

About Hua Ming

Hua Ming is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Computer Networks and Communications and Software, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Software Engineering Research (13 papers), Advanced Software Engineering Methodologies (11 papers), Context-Aware Activity Recognition Systems (10 papers), Data Management and Algorithms (10 papers), Heavy metals in environment (7 papers), Advanced Database Systems and Queries (7 papers), Software System Performance and Reliability (6 papers) and Software Engineering Techniques and Practices (6 papers). The work is most often cited by research in Signal Processing (603 citations), Computer Networks and Communications (655 citations), Pollution (286 citations), Radiological and Ultrasound Technology (75 citations) and Artificial Intelligence (531 citations). Hua Ming has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jian Pei, Xuemin Lin, Wenjie Zhang, Ali Alqazzaz, Mohamed Ali Zohdy, Ibrahim Alrashdi, Esam Mohammed Aloufi, Carl K. Chang, Raed S. Alharthi and Katsunori Oyama. Their work appears in journals such as IEEE Transactions on Software Engineering, IT Professional, IEEE Access, ACM Transactions on Software Engineering and Methodology and The VLDB 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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