Jing Pang

952 citations
56 papers · 722 indexed · h-index 12
Topics
Nonlinear Waves and Solitons (21 papers)Fractional Differential Equations Solutions (14 papers)Nonlinear Photonic Systems (11 papers)
Journals
SHILAP Revista de lepidopterologíaEnvironmental PollutionGlobal Change Biology
Partner nations
ChinaJapanUnited States

In The Last Decade

Jing Pang

47 papers receiving 698 citations

Peers

Jing Pang
Comparison fields: 5 of 76
  • Plant Science 428
  • Atmospheric Science 330
  • Statistical and Nonlinear Physics 135
  • Modeling and Simulation 128
  • Health, Toxicology and Mutagenesis 118
Replace Hans Van de Vyver with:
Hans Van de Vyver Belgium
Ágnes Havasi Hungary
Lin Wan-Tao China
Xingchang Wang China
Matteo Semplice Italy
X. Y. Li China
Jun Yan China
A. Goulart Brazil
Javier Ibáñez Spain
O. Cornejo-Pérez Mexico
Jing Pang relative to Hans Van de Vyver Belgium Hans Van de Vyver's profile →
Citations per field
00.5×10×12.6×
Hans Van de Vyver · 1×
Citations per year

Countries citing papers authored by Jing Pang

Since Specialization
Citations

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

Fields of papers citing papers by Jing Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Pang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 0
5 0
6 0
7 6
8 2
9 6
10 4
11 1
12 3
13 2
14 19
15 68
16 4
17 57
18
Relations Between Transpiration and N Uptake of Rice Grown in Elevated Air Carbon Dioxide Concentration
1
19
Effects of Elevated pCO_2 on Nutrient Uptake by Rice and Nutrient Contents in Rice Grain
3
20
PRECISE INTEGRATION METHOD OF QUASI WAVELET HOMOGENIZATION FOR SOLVING KDV-TYPE EQUATIONS
2

About Jing Pang

Jing Pang is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Numerical Analysis, having authored 56 papers that have together received 722 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (21 papers), Fractional Differential Equations Solutions (14 papers) and Nonlinear Photonic Systems (11 papers). The work is most often cited by research in Modeling and Simulation (128 citations), Atmospheric Science (330 citations) and Numerical Analysis (69 citations). Jing Pang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Jianguo Zhu, Kazuhiko Kobayashi, Zhaozhong Feng, Donald R. Ort, Yulan Wang, Temuer Chaolu, Takashi Yamakawa, Isamu Nouchi, Gang Liu and Masayuki Takigawa. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Pollution and Global Change Biology.

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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