Fangfang Ding

721 total citations · 1 hit paper
7 papers, 557 citations indexed

About

Fangfang Ding is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality and Mechanics of Materials. According to data from OpenAlex, Fangfang Ding has authored 7 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 4 papers in Safety, Risk, Reliability and Quality and 3 papers in Mechanics of Materials. Recurrent topics in Fangfang Ding's work include Machine Fault Diagnosis Techniques (7 papers), Power System Reliability and Maintenance (4 papers) and Reliability and Maintenance Optimization (4 papers). Fangfang Ding is often cited by papers focused on Machine Fault Diagnosis Techniques (7 papers), Power System Reliability and Maintenance (4 papers) and Reliability and Maintenance Optimization (4 papers). Fangfang Ding collaborates with scholars based in Canada and United States. Fangfang Ding's co-authors include Zhigang Tian, Tongdan Jin and Hao Xu and has published in prestigious journals such as Renewable Energy and International Journal of Reliability Quality and Safety Engineering.

In The Last Decade

Fangfang Ding

6 papers receiving 532 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Condition based maintenance optimization for wind power generation systems under continuous monitoring

2010 269 citations Zhigang Tian, Tongdan Jin et al. Renewable Energy profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fangfang Ding Canada	6	390	324	87	67	63	7	557
Dangbo Du China	10	276 0.7×	243 0.8×	81 0.9×	106 1.6×	20 0.3×	25	455
Wenbiao Zhao China	10	300 0.8×	98 0.3×	171 2.0×	48 0.7×	22 0.3×	22	464
Liudong Gu China	10	170 0.4×	180 0.6×	52 0.6×	95 1.4×	15 0.2×	18	393
Suzan Alaswad United Arab Emirates	5	494 1.3×	130 0.4×	195 2.2×	45 0.7×	98 1.6×	13	628
Ranganath Kothamasu United States	6	181 0.5×	310 1.0×	69 0.8×	113 1.7×	10 0.2×	6	503
William H. VerDuin United States	5	167 0.4×	277 0.9×	65 0.7×	106 1.6×	9 0.1×	6	447
Huairui Guo United States	11	269 0.7×	103 0.3×	195 2.2×	47 0.7×	13 0.2×	35	424
Rajiv Nandan India	10	139 0.4×	96 0.3×	67 0.8×	109 1.6×	35 0.6×	40	370
Gaoyang Li China	6	130 0.3×	137 0.4×	43 0.5×	47 0.7×	16 0.3×	9	346
Khac Tuan Huynh France	14	803 2.1×	196 0.6×	318 3.7×	49 0.7×	179 2.8×	22	950

Countries citing papers authored by Fangfang Ding

Since Specialization

Citations

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

Fields of papers citing papers by Fangfang Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangfang Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Fangfang Ding. A scholar is included among the top collaborators of Fangfang Ding 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 Fangfang Ding. Fangfang Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Ding, Fangfang & Zhigang Tian. (2021). Integrated Prognosis for Wind Turbine Gearbox Condition-Based Maintenance Considering Time-Varying Load and Crack Initiation Time Uncertainty. International Journal of Reliability Quality and Safety Engineering. 28(4). 2150024–2150024. 9 indexed citations

2.

Ding, Fangfang, et al.. (2018). An integrated approach for wind turbine gearbox fatigue life prediction considering instantaneously varying load conditions. Renewable Energy. 129. 260–270. 50 indexed citations

3.

Ding, Fangfang, et al.. (2014). Condition-based maintenance of wind power generation systems considering different turbine types and lead times. 2(1). 63–63. 1 indexed citations

4.

Ding, Fangfang, Zhigang Tian, & Tongdan Jin. (2013). Maintenance modeling and optimization for wind turbine systems: A review. 569–575. 12 indexed citations

5.

Ding, Fangfang & Zhigang Tian. (2012). Opportunistic maintenance for wind farms considering multi-level imperfect maintenance thresholds. Renewable Energy. 45. 175–182. 156 indexed citations

6.

Ding, Fangfang & Zhigang Tian. (2011). OPPORTUNISTIC MAINTENANCE OPTIMIZATION FOR WIND TURBINE SYSTEMS CONSIDERING IMPERFECT MAINTENANCE ACTIONS. International Journal of Reliability Quality and Safety Engineering. 18(5). 463–481. 60 indexed citations

7.

Tian, Zhigang, et al.. (2010). Condition based maintenance optimization for wind power generation systems under continuous monitoring. Renewable Energy. 36(5). 1502–1509. 269 indexed citations breakdown →

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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