Yinghua Ji

2.4k citations
98 papers · 827 indexed · h-index 17

Yinghua Ji

86 papers receiving 803 citations

Peers

Yinghua Ji
Comparison fields: 5 of 100
  • Cancer Research 138
  • Atomic and Molecular Physics, and Optics 212
  • Oncology 175
  • Artificial Intelligence 185
  • Immunology 89
Replace Pankaj Jha with:
Pankaj Jha India
David J. Dooling United States
Fabian Arnold Switzerland
Itay Barnea Israel
Hans Georg Breunig Germany
Mattan Levi Israel
Wenyuan Li United States
Ali Akalin United States
Mustafa Sarimollaoglu United States
Torsten W. Remmerbach Germany
Yinghua Ji relative to Pankaj Jha India Pankaj Jha's profile →
Citations per field
00.5×4.9×
Pankaj Jha · 1×
Citations per year

Countries citing papers authored by Yinghua Ji

Since Specialization
Citations

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

Fields of papers citing papers by Yinghua Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20252
4 20244
5 20249
6 20240
7 202420
8 20240
9 20231
10 202122
11 202023
12 20168
13 201522
14 201420
15
Entanglement decoherence of coupled superconductor qubits entangled states in non-Markovian environment
20111
16
Preliminary report on the transmission of rice black-streaked dwarf virus from frozen infected leaves to rice by insect vector small brown planthopper (Laodelphax striatellus).
20109
17
Sequencing and phylogenetic analysis of Co II gene in different populations of Laodelphax striatellus.
20105
18 20104
19
Preliminary Identification of a Newly Occurred Rice Stunt Disease in Jiangsu Province
20093
20
PCR detection and sequence analysis of whitefly-transmitted geminivirus in tomato from Anhui and Shandong Provinces
20091

About Yinghua Ji

Yinghua Ji is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Oncology, having authored 98 papers that have together received 827 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (34 papers), Quantum and electron transport phenomena (20 papers), Quantum Computing Algorithms and Architecture (19 papers), Quantum Mechanics and Applications (13 papers), Quantum optics and atomic interactions (9 papers), Lung Cancer Treatments and Mutations (9 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Plant Virus Research Studies (8 papers). The work is most often cited by research in Cancer Research (138 citations), Atomic and Molecular Physics, and Optics (212 citations) and Oncology (175 citations). Yinghua Ji has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lei Min-Sheng, Qiang Ke, Liyun Hu, Chuying Ouyang, Bo Qi, Hanchen Li, Tianyun Wang, Baosheng Zhao, Liquan Chen and Zhihua Xiong. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and PLANT PHYSIOLOGY.

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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