Zhicheng Ji

4.4k citations
61 papers · 1.4k indexed · 2 hit papers · h-index 18

Zhicheng Ji

56 papers receiving 1.4k citations

Hit Papers

Assessing GPT-4...872016202620192022100200300

Peers

Zhicheng Ji
Comparison fields: 5 of 130
  • Biophysics 163
  • Cancer Research 258
  • Molecular Biology 978
  • Developmental Neuroscience 37
  • Transplantation 24
Replace Ludvig Larsson with:
Ludvig Larsson Sweden
Malte D. Luecken Germany
Ludvig Bergenstråhle Sweden
Ricardo O. Ramirez Flores Germany
Kieran R. Campbell Canada
Irene Papatheodorou United Kingdom
Michael D. Morgan United Kingdom
Valentina Proserpio Italy
Gökçen Eraslan United States
Robrecht Cannoodt Belgium
Zhicheng Ji relative to Ludvig Larsson Sweden Ludvig Larsson's profile →
Citations per field
00.5×10×15×18.3×
Ludvig Larsson · 1×
Citations per year

Countries citing papers authored by Zhicheng Ji

Since Specialization
Citations

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

Fields of papers citing papers by Zhicheng Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20242
4 202413
5
Assessing GPT-4 for cell type annotation in single-cell RNA-seq analysisbreakdown →
202487
6 20232
7 202312
8 20239
9 20231
10 202325
11 202217
12 20225
13 20222
14 202151
15 202037
16 2020176
17 202024
18 201736
19 201518
20
Construction of Authentication Codes with Multi-Fold Secrecy and Capacity to Defend Multi-Fold Deception
20111

About Zhicheng Ji

Zhicheng Ji is a scholar working on Biophysics, Molecular Biology and Control and Systems Engineering, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (17 papers), Cell Image Analysis Techniques (7 papers), Adaptive Control of Nonlinear Systems (6 papers), Gene expression and cancer classification (6 papers), Genomics and Chromatin Dynamics (5 papers), Cancer Genomics and Diagnostics (4 papers), Bioinformatics and Genomic Networks (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Biophysics (163 citations), Cancer Research (258 citations) and Molecular Biology (978 citations). Zhicheng Ji has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Hongkai Ji, Wenpin Hou, Stephanie C. Hicks, Weiqiang Zhou, Steven A. Vokes, Yun Guan, Sean D. Taverna, Kimberly Stephens, Zhiyong Chen and Shaoqiu He. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

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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