Ningning Wu

2.5k citations
89 papers · 1.8k indexed · h-index 24

Impact in

Papers in

Ningning Wu

80 papers receiving 1.7k citations

Peers

Ningning Wu
Comparison fields: 5 of 126
  • Automotive Engineering 596
  • Computer Networks and Communications 365
  • Electrical and Electronic Engineering 908
  • Signal Processing 160
  • Artificial Intelligence 345
Replace Wenjing Li with:
Wenjing Li China
Zhixia Zhang China
Di Yang China
Tiancheng Liu China
Xiang Lu China
Yuxiang Zeng China
Yujue Wang China
Liqin Jiang China
Dhaval Patel United States
Ningning Wu relative to Wenjing Li China Wenjing Li's profile →
Citations per field
00.5×4.8×
Wenjing Li · 1×
Citations per year

Countries citing papers authored by Ningning Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ningning Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001189
2 2013161
3 2001154
4 2022101
5 201494
6 201373
7 201569
8 201453
9 202344
10 201643
11 201340
12 202039
13 202336
14 202136
15 201336
16 202233
17 202032
18 200931
19 202130
20 202426

About Ningning Wu

Ningning Wu is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Computer Networks and Communications, Materials Chemistry and Management Science and Operations Research, having authored 89 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advancements in Battery Materials (31 papers), Advanced Battery Materials and Technologies (26 papers), Advanced Battery Technologies Research (23 papers), Data Quality and Management (12 papers), Acute Myeloid Leukemia Research (7 papers), Network Security and Intrusion Detection (6 papers), Data Management and Algorithms (5 papers) and Advanced Database Systems and Queries (5 papers). The work is most often cited by research in Automotive Engineering (596 citations), Computer Networks and Communications (365 citations), Electrical and Electronic Engineering (908 citations), Signal Processing (160 citations) and Artificial Intelligence (345 citations). Ningning Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Sushil Jajodia, Daniel Barbará, Jun Huang, Jianbo Zhang, Zhe Li, Hai‐Bo Wang, Júlia Couto, Hongding Zhang, Borong Wu and Fuqiang An. Their work appears in journals such as Journal of Power Sources, Electrochimica Acta, Journal of The Electrochemical Society, Ionics and Frontiers in Nutrition.

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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