# Dingcheng Li

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/dingcheng-li/

## Facts

| Field | Value |
| --- | --- |
| Citations | 112 |
| Field | Blockchain Technology Applications and Security |
| h-index | 5 |
| i10-index | 3 |
| Last Known Institution | Google (United States) |
| OpenAlex ID | https://openalex.org/A5083826804 |
| ORCID iD | 0000-0001-8637-3358 |
| Works | 20 |

## Researcher papers

- [Lightning: A High-Efficient Neighbor Discovery Protocol for Low Duty Cycle WSNs](https://scholariq.org/papers/lightning-a-high-efficient-neighbor-discovery-protocol-for-low-duty-cycle-wsns/)
- [Modeling and executing electronic health records driven phenotyping algorithms using the NQF Quality Data Model and JBoss® Drools Engine.](https://scholariq.org/papers/modeling-and-executing-electronic-health-records-driven-phenotyping-algorithms/)
- [IvyCross: A Privacy-Preserving and Concurrency Control Framework for Blockchain Interoperability](https://scholariq.org/papers/ivycross-a-privacy-preserving-and-concurrency-control-framework-for-blockchain/)
- [Detecting Associations between Major Depressive Disorder Treatment and Essential Hypertension using Electronic Health Records.](https://scholariq.org/papers/detecting-associations-between-major-depressive-disorder-treatment-and-essential/)
- [Enabling Fairness-Aware and Privacy-Preserving for Quality Evaluation in Vehicular Crowdsensing: A Decentralized Approach](https://scholariq.org/papers/enabling-fairness-aware-and-privacy-preserving-for-quality-evaluation-in/)
- [IvyCross: A Trustworthy and Privacy-preserving Framework for Blockchain Interoperability.](https://scholariq.org/papers/ivycross-a-trustworthy-and-privacy-preserving-framework-for-blockchain/)
- [Fast Payments Across Heterogeneous Blockchains for Internet of Things](https://scholariq.org/papers/fast-payments-across-heterogeneous-blockchains-for-internet-of-things/)
- [A patient report scale research to access the symptom burden in patients with IgA nephropathy](https://scholariq.org/papers/a-patient-report-scale-research-to-access-the-symptom-burden-in-patients-with/)
- [Generalized Pareto GAN: Generating Extremes of Distributions](https://scholariq.org/papers/generalized-pareto-gan-generating-extremes-of-distributions/)
- [LSEBMCL: A Latent Space Energy-Based Model for Continual Learning](https://scholariq.org/papers/lsebmcl-a-latent-space-energy-based-model-for-continual-learning/)

## Researcher topics

- [Blockchain Technology Applications and Security](https://scholariq.org/topics/blockchain-technology-applications-and-security/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)
- [Model Reduction and Neural Networks](https://scholariq.org/topics/model-reduction-and-neural-networks/)
- [Speech Recognition and Synthesis](https://scholariq.org/topics/speech-recognition-and-synthesis/)

## Researcher university

- [Google (United States)](https://scholariq.org/institutions/google-united-states/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.