Pinghe Ni

1.4k citations
56 papers · 1.0k · h-index 19

Impact in

Papers in

Pinghe Ni

50 papers receiving 1.0k citations

Peers

Pinghe Ni
Comparison fields: 5 of 65
  • Statistics, Probability and Uncertainty 385
  • Civil and Structural Engineering 780
  • Mechanics of Materials 179
  • Control and Systems Engineering 132
  • Environmental Engineering 72
Replace Fan Kong with:
Fan Kong China
Rodrigo Astroza Chile
Robert J. Barthorpe United Kingdom
Qiang Han China
Yunlong Li China
Sifeng Bi China
Luca Zanotti Fragonara United Kingdom
Cristinel Mares United Kingdom
Pinghe Ni relative to Fan Kong China Fan Kong's profile →
Citations per field
00.5×1.5×2.1×
Fan Kong · 1×
Citations per year

Countries citing papers authored by Pinghe Ni

Since Specialization
Citations

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

Fields of papers citing papers by Pinghe Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202080
2 202179
3 201876
4 201870
5 202158
6 202155
7 202153
8 202140
9 202235
10 201430
11 201724
12 202423
13 202422
14 201722
15 202221
16 202320
17 201920
18 201719
19 202219
20 202418

About Pinghe Ni

Pinghe Ni is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty, Mechanics of Materials, Environmental Engineering and Mechanical Engineering, having authored 56 papers that have together received 1.0k indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (39 papers), Probabilistic and Robust Engineering Design (26 papers), Infrastructure Maintenance and Monitoring (15 papers), Seismic Performance and Analysis (9 papers), Ultrasonics and Acoustic Wave Propagation (8 papers), Concrete Corrosion and Durability (7 papers), Wind and Air Flow Studies (6 papers) and Geotechnical Engineering and Analysis (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (385 citations), Civil and Structural Engineering (780 citations), Mechanics of Materials (179 citations), Control and Systems Engineering (132 citations) and Environmental Engineering (72 citations). Pinghe Ni has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Qiang Han, Jun Li, Hong Hao, Yong Xia, Hongyuan Zhou, Xiuli Du, Xiuli Du, Xiuli Du, Xiaowei Cheng and Kun Xu. Their work appears in journals such as Engineering Structures, Mechanical Systems and Signal Processing, Probabilistic Engineering Mechanics, Structural Control and Health Monitoring and Smart Structures and Systems.

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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